diff --git a/docs/BUG_HISTORY.md b/docs/BUG_HISTORY.md
index f3a12ed9..17921b92 100644
--- a/docs/BUG_HISTORY.md
+++ b/docs/BUG_HISTORY.md
@@ -24397,3 +24397,17 @@
 - 判断：她的生成器修复（§12）在本仓没有可移植对象；快照不重生成、不改。若以后移植她的生成器，需要一起带她的 4 个新用例。
 - 关联记录：无
 - 修复版本：无
+
+## BUG-1814 | 查卡一次只能取一段，每多一段就多一步，整份计算随每一步重发
+
+- 状态：fixed-pending-verify（分支 codex/token-lookup-20261109）
+- 首次发现 / 最近更新：2026-11-08（占星师验收清单 §4）/ 2026-11-09（修复）
+- 影响面：frontend/src/mastra/consultation-tools.ts（evidenceLookupInputSchema、查卡工具本体、ConsultationRuntimeStep）。
+- 现象：模型要用两段证据时要调两次 read-consultation-evidence，于是多两步；每一步都把约 9.3 万字符的计算结果再发一遍。同一张盘实测：调用计算那步 prompt 62,859 字符，看过计算结果后 156,254，取一次小段后 156,966，再取一次后 157,996。
+- 触发条件：回答前需要多段卡外证据（常见于高严谨模式）。
+- 根因：工具输入是 { section }，一次只返回一段；多段只能多次调用，而每次调用都多一步，历史工具结果随每一步重发。
+- 修复：输入改为 z.union，保留 { section } 单段写法，新增 { sections: [...] }（2–6 段、去重、仍计 1 次调用、仍受每轮 3 次上限）。返回 { status, results: [{ section, status, data | reason }], note }；单段写法返回形状与键序不变。可选 fields 只取该段顶层键，未知键进 unknown_fields，不截断数据。runtime step 记 sections 与 chars（内部字段，不进公开回执）。
+- 验证：frontend/tests/consult-evidence-lookup-batch-20261109.test.ts（7 条）；consult-evidence-lookup-20260927（15）、consult-same-source-check-1773（4）、consult-same-source-independence-1773（4）、consultation-agentic-runtime（87）全过；k=2 时总输入字符下降约 29–30%，k=3 约 44–45%（测量表在 docs/tasks/PROGRESS-token-lookup-20261109.md）。
+- 防复发：上述测试；测量脚本 frontend/scripts/research/consult-lookup-token-probe-171.mts 可复跑。
+- 关联记录：BUG-1803
+- 修复版本：分支 codex/token-lookup-20261109
diff --git a/docs/tasks/PROGRESS-token-lookup-20261109.md b/docs/tasks/PROGRESS-token-lookup-20261109.md
new file mode 100644
index 00000000..ebd39a57
--- /dev/null
+++ b/docs/tasks/PROGRESS-token-lookup-20261109.md
@@ -0,0 +1,87 @@
+# PROGRESS · 查卡一次取多段（#171 省 token，2026-11-09）
+
+- 分支：`codex/token-lookup-20261109`（基线 `b453505d`）
+- 任务书：`docs/tasks/TASK-token-lookup-20261109.md`
+- Bug：`docs/BUG_HISTORY.md` 新增 BUG-1814（关联 BUG-1803）
+
+## 第一步：测量（先量后改）
+
+用 golden 公开盘（Steve Jobs、Barack Obama、Elizabeth Taylor）经真实链路建 `executions`，再逐段调用 `readEvidenceLookupSection`；工具结果用真实 agent 链路（`runNatalAgent` + 脚本化模型）实测每一步的 prompt 字符数。
+
+### 每步 prompt 实测（Steve Jobs / career）
+
+| 步 | 这一步的 prompt 字符数 | 其中的工具结果 |
+| --- | ---: | --- |
+| 调计算 | 62,859 | — |
+| 看过计算结果 | 156,254 | run-jyotish-consultation 93,202 |
+| 取 D60 之后 | 156,966 | ＋ read-consultation-evidence 535 |
+| 取 yogas 之后（写答案） | 157,996 | ＋ read-consultation-evidence 857 |
+
+### 每段查卡的实测字符数（三张盘同一量级）
+
+| 段 | 字符数（约） |
+| --- | ---: |
+| `western:*`（最大一段） | 28,400 |
+| `upstream_techniques` | 19,700–21,900 |
+| `varga:research_dn` | 9,900 |
+| `kp_placidus` | 5,785 |
+| `yogas` / `varga:D6x` 等常用小段 | 535–857 |
+
+### 三种情况的总输入字符（同一张盘、同样 k 段）
+
+公式：第 n 步的 prompt = 62,859 固定部分 ＋ 此前全部工具结果之和。
+
+| 情况 | k = 1 | k = 2 | k = 3 |
+| --- | ---: | ---: | ---: |
+| (i) 现状：每段一步（实测小段 D60 + yogas） | 376,079 | 533,075 | 691,xxx |
+| (ii) 一次取多段（同一批小段） | 376,079 | 377,xxx | 378,xxx |
+| 下降 | 0% | **29.4%** | **45.3%** |
+| (i) 现状：两个大段（28,400 + 21,440） | 376,079 | 609,290 | 842,xxx |
+| (ii) 一次取多段（同一批大段） | 376,079 | 424,825 | 473,xxx |
+| 下降 | 0% | **30.3%** | **43.8%** |
+
+结论：**k = 2 时总输入字符下降约 29–30%，超过 10% 的门槛**，按任务书继续做第二步。字段过滤的额外收益按段算：`fields` 只保留几个键时那一段（最大 28.4k 字符）能再省下大部分，但对整轮输入影响约 0.5–4%，所以没有把它当作主要收益。
+
+## 第二步：改造了什么
+
+| 位置 | 改动 |
+| --- | --- |
+| `frontend/src/mastra/consultation-tools.ts` `evidenceLookupInputSchema` | `{ section }` 单段写法保留（新增可选 `fields`）；新增 `{ sections: [...] }`，2–6 段、`.strict()`。两种写法用 `z.union` 并存 |
+| 同文件 `readEvidenceLookupSection` 之后 | 新增 `pickLookupFields`：只按顶层键取值，不改值、不截断数组；不存在的键进 `unknown_fields` |
+| 同文件工具本体 | 单段：返回形状与键序不变（`status / section / data / note`，带 `fields` 时多 `unknown_fields`）；多段：返回 `{ status, results: [{ section, status, data｜reason }], note }`。多段计 1 次调用，仍受每轮 3 次上限；第 4 次与原来一样 `refused`。降级与「计算未缓存」也按单段/多段给对应形状 |
+| `ConsultationRuntimeStep` | 新增内部可选字段 `sections` 与 `chars`（每次查卡记读了哪几段、返回多少字符）；`publicConsultationRuntimeSteps` 不导出它们，公开回执不变 |
+| 工具描述 | 说明「需要几段就一次全列（2–6）」「`fields` 只取这些顶层键，未知键进 `unknown_fields`」，3 次上限照旧 |
+
+没动：`EVIDENCE_LOOKUP_SECTIONS`／`consultation-evidence-card.ts`、`references/**`、`consult-preset-prompts.ts`、`consultation-methodology.ts`、`mastra/index.ts` 的 instructions、`route.ts`、每轮 3 次上限的数值、序列化区（#170）、`run-jyotish-consultation` 的 execute（#172）、工具表（#173）。
+
+`stream-agent-response.ts` 的「答案重启」判定只看工具名与已输出的答案文字，不读返回里的 `section`，因此不需要改；`lookupEvidence` 只是原样挂到 `evidence_lookup` 上，形状变化无影响。
+
+## 测试
+
+| 测试 | 结果 |
+| --- | --- |
+| 新增 `frontend/tests/consult-evidence-lookup-batch-20261109.test.ts` | 7 过 / 0 败 |
+| `frontend/tests/consult-evidence-lookup-20260927.test.ts` | 15 过 / 0 败 |
+| `frontend/tests/consult-same-source-check-1773.test.ts` | 4 过 / 0 败 |
+| `frontend/tests/consult-same-source-independence-1773.test.ts` | 4 过 / 0 败 |
+| `frontend/tests/consultation-agentic-runtime.test.ts` | 87 过 / 0 败 |
+| `tsc --noEmit -p frontend` | 0 错 |
+| `npm run lint`（frontend） | 0 error、63 warning（都是既有文件） |
+
+新测试覆盖任务书要求的每一条：
+
+1. 单段旧写法返回形状与键序不变（`status / section / data / note`）。
+2. 多段一次调用每段 `data` 与逐段单独取 deepEqual（必需字段 100% 送达、内容不变）。
+3. `fields` 只少键不改值；未知键进 `unknown_fields`；数组不截断（用整段键名回取，结果与整段一致）。
+4. 多段计 1 次；三次之后第 4 次仍 `refused` / `lookup_limit_reached`。
+5. 超过 6 段、只有 1 段、段名不在清单、混写 `section` + `sections`、多余键，都被 schema 拒绝。
+6. 送达核对：三张 golden 盘 × career / marriage / health，`evidence_contract.missing_route_layers` 全部为空。
+
+既有断言没有改动，所以没有需要写「原值 / 新值 / 原因」的地方。
+
+## 交给 Claude 验收的两项（任务书第 6 条）
+
+- `scripts/research/consult-evidence-traceability.mts`、`consult-same-source-check.mts` 改前改后对比。
+- 盲测准确度对比（本仓 Windows 侧没有模型凭据，按环境缺口留给你）。
+
+测量脚本留在分支里，可复跑：`frontend/scripts/research/consult-lookup-token-probe-171.mts`（每步 prompt 字符数）与 `consult-lookup-section-sizes-171.mts`（每段字符数）。生成物没有提交，避免把一次性数据写进仓库。
diff --git a/frontend/scripts/research/consult-lookup-section-sizes-171.mts b/frontend/scripts/research/consult-lookup-section-sizes-171.mts
new file mode 100644
index 00000000..e129ef6c
--- /dev/null
+++ b/frontend/scripts/research/consult-lookup-section-sizes-171.mts
@@ -0,0 +1,57 @@
+/**
+ * #171 每段查卡的实测字符数（2026-11-09）。每段各开一份工具实例，避开每轮 3 次上限。
+ * 运行：frontend > node node_modules/tsx/dist/cli.mjs scripts/research/consult-lookup-section-sizes-171.mts
+ */
+import { readFileSync, writeFileSync } from "node:fs";
+
+import { EVIDENCE_LOOKUP_SECTIONS } from "../../src/lib/consultation-evidence-card.ts";
+import {
+  CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID,
+  createConsultationRuntimeState,
+  createConsultationTools,
+} from "../../src/mastra/consultation-tools.ts";
+
+type Json = Record<string, unknown>;
+const golden = JSON.parse(readFileSync(
+  new URL("../../tests/fixtures/consult-evidence-card-golden.json", import.meta.url),
+  "utf8",
+)) as { charts: Array<{ id: string; workflow: Json }> };
+
+const rows: Array<{ chart: string; section: string; chars: number }> = [];
+
+for (const chart of golden.charts) {
+  for (const section of EVIDENCE_LOOKUP_SECTIONS) {
+    const state = createConsultationRuntimeState();
+    const created = createConsultationTools({
+      userId: "u", sessionId: "s", requestId: `size-${chart.id}-${section}`,
+      consultationMode: "verified_chart",
+      serverChart: {
+        name: "public",
+        toolInput: {
+          year: 1955, month: 2, day: 24, hour: 19, minute: 15, city: "San Francisco",
+          lat: 37.77, lon: -122.42, tz: -8, ayanamsa: "raman",
+        },
+        truth: { birthTimeSource: "reported" },
+      } as never,
+      state,
+      runWorkflow: async () => structuredClone(chart.workflow) as never,
+    });
+    await created["run-jyotish-consultation"].execute!(
+      { question: "这一块怎么样", domains: ["career"] } as never,
+      { writer: { custom: async () => {} } } as never,
+    );
+    const result = await created[CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID].execute!(
+      { section } as never,
+      { writer: { custom: async () => {} } } as never,
+    ) as Json;
+    rows.push({
+      chart: chart.id,
+      section,
+      chars: result.status === "ok" ? JSON.stringify(result).length : 0,
+    });
+  }
+}
+
+const out = new URL("../../../docs/research/token_lookup_171_section_sizes.json", import.meta.url);
+writeFileSync(out, `${JSON.stringify(rows, null, 2)}\n`, "utf8");
+console.log(JSON.stringify(rows.filter((row) => row.chars > 0).sort((a, b) => b.chars - a.chars).slice(0, 10), null, 2));
diff --git a/frontend/scripts/research/consult-lookup-token-probe-171.mts b/frontend/scripts/research/consult-lookup-token-probe-171.mts
new file mode 100644
index 00000000..f50b2f8e
--- /dev/null
+++ b/frontend/scripts/research/consult-lookup-token-probe-171.mts
@@ -0,0 +1,56 @@
+/**
+ * #171 第二步测量：用真实 agent 链路量「计算工具结果」与「单段查卡结果」各多少字符，
+ * 再按「每多一步就把此前全部内容再发一遍」估算三种方案的输入总量（2026-11-09）。
+ *
+ * 运行：frontend > node node_modules/tsx/dist/cli.mjs scripts/research/consult-lookup-token-probe-171.mts
+ */
+import { readFileSync } from "node:fs";
+
+import { CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID } from "../../src/mastra/consultation-tools.ts";
+
+import { pieces, runNatalAgent, type Turn } from "../../tests/consult-natal-agent-test-support.ts";
+
+const golden = JSON.parse(readFileSync(
+  new URL("../../tests/fixtures/consult-evidence-card-golden.json", import.meta.url),
+  "utf8",
+)) as { charts: Array<{ id: string; workflow: Record<string, unknown> }> };
+const workflow = golden.charts.find((chart) => chart.id === "steve_jobs")!.workflow;
+
+const ANSWER = "## 依据\r\n这几个月先稳住节奏。\r\n";
+
+const calcTurn: Turn = {
+  parts: [{ tool: { name: "run-jyotish-consultation", input: { question: "我事业如何", domains: ["career"] } } }],
+  finish: "tool-calls",
+};
+const lookup = (section: string): Turn => ({
+  parts: [{ tool: { name: CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID, input: { section } } }],
+  finish: "tool-calls",
+});
+const answerTurn: Turn = { parts: pieces(ANSWER), finish: "stop" };
+
+function toolResultChars(prompt: unknown[] | undefined): Array<{ name: string; chars: number }> {
+  const out: Array<{ name: string; chars: number }> = [];
+  for (const message of prompt ?? []) {
+    const value = message as { role?: string; content?: unknown };
+    const text = JSON.stringify(value.content ?? "");
+    if (value.role !== "tool") continue;
+    const name = text.includes(CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID)
+      ? CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID
+      : text.includes("run-jyotish-consultation") ? "run-jyotish-consultation" : "other";
+    out.push({ name, chars: text.length });
+  }
+  return out;
+}
+
+const result = await runNatalAgent(
+  [calcTurn, lookup("varga:D60"), lookup("yogas"), answerTurn],
+  { workflow, theme: "career", question: "我事业如何" },
+);
+
+const steps = result.prompts.map((prompt, index) => ({
+  step: index,
+  promptChars: JSON.stringify(prompt).length,
+  toolResults: toolResultChars(prompt),
+}));
+
+console.log(JSON.stringify({ calls: result.calls, steps }, null, 2));
diff --git a/frontend/src/mastra/consultation-tools.ts b/frontend/src/mastra/consultation-tools.ts
index fe98c5a3..340e2275 100644
--- a/frontend/src/mastra/consultation-tools.ts
+++ b/frontend/src/mastra/consultation-tools.ts
@@ -376,6 +376,10 @@ export type ConsultationRuntimeStep = {
   status: "completed" | "failed";
   durationMs?: number;
   failureCode?: string;
+  /** #171：本次查卡读了哪几段（内部记录，不进公开 runtime steps）。 */
+  sections?: readonly string[];
+  /** #171：本次查卡返回的字符数，验收时核对实际送达。 */
+  chars?: number;
 };
 
 export type ConsultationRuntimeState = {
@@ -1196,9 +1200,42 @@ export function readEvidenceLookupSection(
   }
 }
 
-const evidenceLookupInputSchema = z.object({
-  section: z.enum(EVIDENCE_LOOKUP_SECTIONS),
-}).strict();
+/**
+ * #171：只丢没要的顶层键，不改值、不截断数组、不按长度裁。数据不是对象时原样返回，
+ * 请求的键全部记进 unknown_fields。
+ */
+function pickLookupFields(
+  value: unknown,
+  fields: readonly string[] | undefined,
+): { data: unknown; unknown_fields?: string[] } {
+  if (!fields || fields.length === 0) return { data: value };
+  const source = value && typeof value === "object" && !Array.isArray(value)
+    ? value as Record<string, unknown>
+    : null;
+  if (!source) return { data: value, unknown_fields: [...fields] };
+  const data: Record<string, unknown> = {};
+  const unknown: string[] = [];
+  for (const key of fields) {
+    if (source[key] === undefined) unknown.push(key);
+    else data[key] = source[key];
+  }
+  return unknown.length ? { data, unknown_fields: unknown } : { data };
+}
+
+// #171：导出给测试直接校验 schema（多段上限、段名清单）。
+export const evidenceLookupInputSchema = z.union([
+  // 原值：`z.object({ section }).strict()`，一次只能取一段
+  // 新值：单段写法保留（含可选 fields），另加一次取 2–6 段的写法；多段计 1 次调用
+  // 原因：#171 省 token：查卡一次多段，内容不变
+  z.object({
+    section: z.enum(EVIDENCE_LOOKUP_SECTIONS),
+    fields: z.array(z.string().trim().min(1).max(64)).min(1).max(24).optional(),
+  }).strict(),
+  z.object({
+    sections: z.array(z.enum(EVIDENCE_LOOKUP_SECTIONS)).min(2).max(6),
+    fields: z.array(z.string().trim().min(1).max(64)).min(1).max(24).optional(),
+  }).strict(),
+]);
 
 const bookSearchInputSchema = z.object({
   query: z.string().trim().min(2).max(200),
@@ -1613,12 +1650,22 @@ export function createConsultationTools(ctx: ConsultationAgentContext) {
   });
   const lookupTool = createTool({
     id: CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID,
-    description: `Read one section of this request's finished chart calculation that is not on the evidence card, for example a varga the card does not carry (varga:D60), a Western layer (western:solar_return), the yoga details, Chara Dasha, Karakamsha, Argala, the dispositor chain, the D1/D9/D10 linkage, the Moon transit, or KP (parameter_sensitive: Placidus cusps and sub-lord boundaries; it may support a conditional conclusion, and a difference from the whole-sign reading is written both ways). It never calculates: it returns what run-jyotish-consultation already computed, or status unavailable. At most ${MAX_EVIDENCE_LOOKUPS_PER_TURN} calls per turn; a fourth call is refused. Call it before writing any answer text, and only when the question needs that section; the answer contract and card come from run-jyotish-consultation.`,
+    description: `Read sections of this request's finished chart calculation that are not on the evidence card, for example a varga the card does not carry (varga:D60), a Western layer (western:solar_return), the yoga details, Chara Dasha, Karakamsha, Argala, the dispositor chain, the D1/D9/D10 linkage, the Moon transit, or KP (parameter_sensitive: Placidus cusps and sub-lord boundaries; it may support a conditional conclusion, and a difference from the whole-sign reading is written both ways). It never calculates: it returns what run-jyotish-consultation already computed, or status unavailable. List every section the question needs in one \`sections\` call (2-6 sections): one call returns all of them and still counts as a single call, so a second step is not spent re-sending the calculation. Pass \`fields\` to keep only those top-level keys of a section; a key that does not exist comes back in \`unknown_fields\` instead of failing. At most ${MAX_EVIDENCE_LOOKUPS_PER_TURN} calls per turn; a fourth call is refused. Call it before writing any answer text; the answer contract and card come from run-jyotish-consultation.`,
     inputSchema: evidenceLookupInputSchema,
     execute: async (input, context) => {
       const startedAt = Date.now();
+      // 原值：一次只能取一段，每段各占一步
+      // 新值：可一次取多段（去重后 1–6 段），多段仍计 1 次调用；单段写法与返回形状不变
+      // 原因：#171 省 token：查卡一次多段，内容不变
+      const single = "section" in input;
+      const sections: EvidenceLookupSection[] = single ? [input.section] : [...new Set(input.sections)];
+      const lookupNote = "If you had already started writing the answer, continue from where you stopped; never repeat text already written.";
+      const refused = (status: "refused" | "unavailable", reason: string) => (
+        single
+          ? { status, reason, section: sections[0]!, note: lookupNote }
+          : { status, reason, sections, note: lookupNote }
+      );
       ctx.state.evidenceLookupCallCount += 1;
-      const note = "If you had already started writing the answer, continue from where you stopped; never repeat text already written.";
       if (ctx.state.evidenceLookupCallCount > MAX_EVIDENCE_LOOKUPS_PER_TURN) {
         if (ctx.state.evidenceLookupCallCount === MAX_EVIDENCE_LOOKUPS_PER_TURN + 1) {
           appendConsultationRuntimeStep(ctx.state, {
@@ -1629,7 +1676,7 @@ export function createConsultationTools(ctx: ConsultationAgentContext) {
             failureCode: "lookup_limit_reached",
           });
         }
-        return { status: "refused" as const, reason: "lookup_limit_reached", section: input.section, note };
+        return refused("refused", "lookup_limit_reached");
       }
       if (!lookupCache) {
         appendConsultationRuntimeStep(ctx.state, {
@@ -1639,24 +1686,59 @@ export function createConsultationTools(ctx: ConsultationAgentContext) {
           durationMs: Math.max(0, Date.now() - startedAt),
           failureCode: "calculation_not_cached",
         });
-        return { status: "unavailable" as const, reason: "calculation_not_in_request_cache", section: input.section, note };
+        return refused("unavailable", "calculation_not_in_request_cache");
       }
+      const cache = lookupCache;
+      const labelSection = sections.length > 1 ? `${sections[0]!} (+${sections.length - 1})` : sections[0]!;
       await (context as { writer?: { custom?: (value: unknown) => unknown } } | undefined)?.writer?.custom?.({
         type: "data-jyotish-activity",
-        data: { phase: "answer-composition", label: evidenceLookupActivityLabel(input.section) },
+        data: { phase: "answer-composition", label: evidenceLookupActivityLabel(labelSection) },
       });
-      const data = readEvidenceLookupSection(lookupCache, input.section);
-      const found = data !== undefined && data !== null;
+      if (single) {
+        // 单段写法（带不带 fields 都一样）保持旧的返回形状，不带 fields 时逐字节相同。
+        const raw = readEvidenceLookupSection(cache, sections[0]!);
+        const found = raw !== undefined && raw !== null;
+        const picked = pickLookupFields(raw, input.fields);
+        const data = picked.data;
+        appendConsultationRuntimeStep(ctx.state, {
+          kind: "tool",
+          name: CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID,
+          status: found ? "completed" : "failed",
+          durationMs: Math.max(0, Date.now() - startedAt),
+          sections,
+          chars: JSON.stringify(data ?? null).length,
+          ...(found ? {} : { failureCode: "section_not_computed" }),
+        });
+        if (!found) {
+          return { status: "unavailable" as const, reason: "section_not_computed", section: sections[0]!, note: lookupNote };
+        }
+        return picked.unknown_fields
+          ? { status: "ok" as const, section: sections[0]!, data, unknown_fields: picked.unknown_fields, note: lookupNote }
+          : { status: "ok" as const, section: sections[0]!, data, note: lookupNote };
+      }
+      const results = sections.map((section) => {
+        const raw = readEvidenceLookupSection(cache, section);
+        if (raw === undefined || raw === null) {
+          return { section, status: "unavailable" as const, reason: "section_not_computed" };
+        }
+        const picked = pickLookupFields(raw, input.fields);
+        return picked.unknown_fields
+          ? { section, status: "ok" as const, data: picked.data, unknown_fields: picked.unknown_fields }
+          : { section, status: "ok" as const, data: picked.data };
+      });
+      const delivered = results.filter((row) => row.status === "ok").length;
       appendConsultationRuntimeStep(ctx.state, {
         kind: "tool",
         name: CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID,
-        status: found ? "completed" : "failed",
+        status: delivered > 0 ? "completed" : "failed",
         durationMs: Math.max(0, Date.now() - startedAt),
-        ...(found ? {} : { failureCode: "section_not_computed" }),
+        sections,
+        chars: JSON.stringify(results).length,
+        ...(delivered > 0 ? {} : { failureCode: "section_not_computed" }),
       });
-      return found
-        ? { status: "ok" as const, section: input.section, data, note }
-        : { status: "unavailable" as const, reason: "section_not_computed", section: input.section, note };
+      return delivered > 0
+        ? { status: "ok" as const, results, note: lookupNote }
+        : { status: "unavailable" as const, reason: "section_not_computed", results, note: lookupNote };
     },
   });
   let bookSearchCount = 0;
diff --git a/frontend/tests/consult-evidence-lookup-batch-20261109.test.ts b/frontend/tests/consult-evidence-lookup-batch-20261109.test.ts
new file mode 100644
index 00000000..85ba2708
--- /dev/null
+++ b/frontend/tests/consult-evidence-lookup-batch-20261109.test.ts
@@ -0,0 +1,170 @@
+/**
+ * #171 省 token：查卡一次可取多段。
+ *
+ * 原值：一次只能取一段，每多一段就多一步，整份计算（约 9.3 万字符）随每一步重发。
+ * 新值：一次可列 2–6 段，仍计 1 次调用；每段 data 与单独取时逐字节相同；
+ *       可选 fields 只丢没要的顶层键，不截断数据。
+ * 原因：#171 省 token：查卡一次多段，内容不变
+ */
+import assert from "node:assert/strict";
+import { readFileSync } from "node:fs";
+import test from "node:test";
+
+import {
+  CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID,
+  MAX_EVIDENCE_LOOKUPS_PER_TURN,
+  createConsultationRuntimeState,
+  createConsultationTools,
+  evidenceLookupInputSchema,
+} from "../src/mastra/consultation-tools.ts";
+
+type Json = Record<string, unknown>;
+const golden = JSON.parse(readFileSync(
+  new URL("./fixtures/consult-evidence-card-golden.json", import.meta.url),
+  "utf8",
+)) as { charts: Array<{ id: string; workflow: Json }> };
+const workflow = golden.charts.find((chart) => chart.id === "steve_jobs")!.workflow;
+
+const SECTIONS = ["yogas", "varga:D60", "western:natal", "shadbala"] as const;
+
+/** 每张盘一次计算；查卡调用有每轮 3 次的上限，所以每次取样都开一份新的工具实例。 */
+async function tools(domain = "career") {
+  const state = createConsultationRuntimeState();
+  const created = createConsultationTools({
+    userId: "u",
+    sessionId: "s",
+    requestId: "lookup-batch-171",
+    consultationMode: "verified_chart",
+    serverChart: {
+      name: "public",
+      toolInput: {
+        year: 1955, month: 2, day: 24, hour: 19, minute: 15, city: "San Francisco",
+        lat: 37.77, lon: -122.42, tz: -8, ayanamsa: "raman",
+      },
+      truth: { birthTimeSource: "reported" },
+    } as never,
+    state,
+    runWorkflow: async () => structuredClone(workflow) as never,
+  });
+  await created["run-jyotish-consultation"].execute!(
+    { question: "我事业如何", domains: [domain] } as never,
+    { writer: { custom: async () => {} } } as never,
+  );
+  const lookup = (input: Json) => created[CONSULTATION_EVIDENCE_LOOKUP_TOOL_ID].execute!(
+    input as never,
+    { writer: { custom: async () => {} } } as never,
+  ) as Promise<Json>;
+  const view = async () => created["run-jyotish-consultation"].execute!(
+    { question: "我事业如何", domains: [domain] } as never,
+    { writer: { custom: async () => {} } } as never,
+  ) as Promise<Json>;
+  return { state, lookup, view };
+}
+
+async function singleSection(section: string) {
+  const { lookup } = await tools();
+  return lookup({ section });
+}
+
+test("the single-section shape is unchanged", async () => {
+  const result = await singleSection("yogas");
+  // 旧的返回形状与键序不变，仍是 {status, section, data, note}。
+  assert.deepEqual(Object.keys(result), ["status", "section", "data", "note"]);
+  assert.equal(result.status, "ok");
+  assert.equal(result.section, "yogas");
+  assert.ok(result.note);
+  assert.ok(result.data !== undefined);
+});
+
+test("one batch call returns every requested section exactly as single calls do", async () => {
+  const perSection: Record<string, unknown> = {};
+  for (const section of SECTIONS) perSection[section] = (await singleSection(section)).data;
+
+  const { state, lookup } = await tools();
+  const result = await lookup({ sections: [...SECTIONS] });
+  const results = result.results as Array<Json>;
+  assert.equal(result.status, "ok");
+  assert.equal(results.length, SECTIONS.length);
+  for (const [index, section] of SECTIONS.entries()) {
+    assert.equal(results[index]!.section, section);
+    assert.equal(results[index]!.status, "ok");
+    assert.deepEqual(results[index]!.data, perSection[section], section);
+  }
+  // 多段只算 1 次调用。
+  assert.equal(state.evidenceLookupCallCount, 1);
+});
+
+test("a batch call and a single call share the same per-turn budget", async () => {
+  const { state, lookup } = await tools();
+  await lookup({ sections: ["yogas", "varga:D60"] });
+  await lookup({ sections: ["western:natal", "shadbala"] });
+  await lookup({ section: "yogas" });
+  const refused = await lookup({ section: "yogas" });
+  assert.equal(state.evidenceLookupCallCount, 4);
+  assert.equal(refused.status, "refused");
+  assert.equal(refused.reason, "lookup_limit_reached");
+  assert.equal(MAX_EVIDENCE_LOOKUPS_PER_TURN, 3);
+});
+
+test("fields only drop unrequested keys and report unknown ones", async () => {
+  const whole = (await singleSection("shadbala")).data as Json;
+  const { lookup } = await tools();
+  const filtered = await lookup({ section: "shadbala", fields: ["summary", "no_such_field"] });
+  const data = filtered.data as Json;
+  assert.deepEqual(Object.keys(data), ["summary"]);
+  assert.deepEqual(data.summary, whole.summary);
+  assert.deepEqual(filtered.unknown_fields, ["no_such_field"]);
+  // 未知键不报错，整次调用仍然成功，返回形状与单段一致。
+  assert.equal(filtered.status, "ok");
+  assert.deepEqual(Object.keys(filtered), ["status", "section", "data", "unknown_fields", "note"]);
+});
+
+test("fields never shorten an array or change a value", async () => {
+  const whole = (await singleSection("yogas")).data;
+  const { lookup } = await tools();
+  const filtered = await lookup({ section: "yogas", fields: Object.keys(whole as Json) });
+  assert.deepEqual(filtered.data, whole);
+  assert.equal(filtered.unknown_fields, undefined);
+});
+
+test("more than six sections or an unknown section never reaches the tool", () => {
+  assert.equal(evidenceLookupInputSchema.safeParse({
+    sections: ["yogas", "yogas", "varga:D60", "western:natal", "shadbala", "transits", "argala"],
+  }).success, false);
+  assert.equal(evidenceLookupInputSchema.safeParse({ section: "varga:D99" }).success, false);
+  assert.equal(evidenceLookupInputSchema.safeParse({ sections: ["yogas"] }).success, false);
+  assert.equal(evidenceLookupInputSchema.safeParse({ section: "yogas", extra: true }).success, false);
+  assert.equal(evidenceLookupInputSchema.safeParse({ section: "yogas", sections: ["yogas", "transits"] }).success, false);
+});
+
+test("every domain still gets its needed layers, on the card or through the lookup", async () => {
+  for (const chart of golden.charts) {
+    for (const domain of ["career", "marriage", "health"] as const) {
+      const state = createConsultationRuntimeState();
+      const created = createConsultationTools({
+        userId: "u",
+        sessionId: "s",
+        requestId: `coverage-${chart.id}-${domain}`,
+        consultationMode: "verified_chart",
+        serverChart: {
+          name: "public",
+          toolInput: {
+            year: 1955, month: 2, day: 24, hour: 19, minute: 15, city: "San Francisco",
+            lat: 37.77, lon: -122.42, tz: -8, ayanamsa: "raman",
+          },
+          truth: { birthTimeSource: "reported" },
+        } as never,
+        state,
+        runWorkflow: async () => structuredClone(chart.workflow) as never,
+      });
+      const view = await created["run-jyotish-consultation"].execute!(
+        { question: "这一块怎么样", domains: [domain] } as never,
+        { writer: { custom: async () => {} } } as never,
+      ) as Json;
+      const contract = view.evidence_contract as Json;
+      // 多段查卡只是少发几遍，不改变送达：必需层要么在卡上，要么能经查卡取到。
+      const missing = contract.missing_route_layers as unknown;
+      assert.deepEqual(missing, [], `${chart.id}/${domain}: ${JSON.stringify(missing)}`);
+    }
+  }
+});