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Wudao A-Share Stock Data MCP

by io.github.jcdreamjc
OverviewDiscussionsAdmin

stock_search

Read-onlyIdempotent

通过股票名称、代码、拼音或行业关键词模糊搜索，快速定位目标股票 何时使用: 模糊股票名/拼音/行业/代码解析；结果传给 kline/capital_flow/research_reports 等。 【链接】rows/items/嵌套股票对象含 code/name；列股必须用 [name(code)](https://stock.quicktiny.cn/quote/<code>) markdown 链接。

Input Schema

NameRequiredDescriptionDefault
limitNo返回数量，默认 10。
queryYes必填。搜索关键词，支持股票名称、代码、拼音首字母、行业或地区。
formatNocontent[0].text：默认1行 headline；markdown=完整 markdown 表格；json=完整 JSON。
detailLevelNo档位：默认 standard（Agent 可计算标准字段）；summary=压缩摘要；raw=全字段+原始数据。

Output Schema

NameRequiredDescriptionDefault
dataNo
metaNo
successNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / detailLevel / description
      Previous value: -"输出详细度（不传=standard，返回 Agent 可计算标准字段）。summary=压缩摘要；raw=全字段+原始数据。"New value: +"档位：默认 standard（Agent 可计算标准字段）；summary=压缩摘要；raw=全字段+原始数据。"
    • changedInput schema / properties / format / description
      Previous value: -"content[0].text 形态。通常不传=1 行 headline；auction_market_scan / auction_theme_strength 在 standard/raw 档默认直接返回 JSON 明细。markdown=完整 markdown 表格；json=完整 JSON。"New value: +"content[0].text：默认1行 headline；markdown=完整 markdown 表格；json=完整 JSON。"
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "properties": {
+    "data": {},
+    "meta": {},
+    "success": {}
+  },
+  "type": "object"
+}
  3. First observed

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover read-only, idempotent, open-world, and non-destructive behavior. The description adds useful output-shape guidance (rows/items/nested stock objects contain code/name) and a mandatory markdown link formatting rule, which is behavior beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with purpose, then usage, then a concise output-formatting rule. It is dense and information-rich without filler, and every section earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so the description need not explain return values. It still supplies the key downstream-routing context and the required markdown link format, making it complete enough for an agent to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the four parameters are already documented in the schema, including query support for name/code/pinyin/industry/region, limit, format, and detailLevel. The description does not add parameter-level meaning beyond what the schema provides, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (模糊搜索) and resource (股票), covering name/code/pinyin/industry lookup. The usage clause clarifies it resolves fuzzy stock identifiers before passing results to data tools like kline/capital_flow/research_reports, which separates it from those sibling data-fetch tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says when to use it: fuzzy stock name/pinyin/industry/code resolution, and explains the downstream handoff to kline/capital_flow/research_reports. It does not state when not to use it or name a specific alternative such as sec_company_search, so it stops short of full alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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