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kevynf

AKBridge MCP Server

by kevynf

stock_irm_ans_cninfo

Read-onlyIdempotent

Fetch the answer to a CNINFO investor question by providing the questioner ID from the corresponding question list.

Instructions

互动易-回答 https://irm.cninfo.com.cn/ircs/question/questionDetail?questionId=1515236357817618432 :param symbol: 提问者编号;通过 ak.stock_irm_cninfo() 来获取具体的提问者编号 :type symbol: str :return: 回答 :rtype: str

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo1513586704097333248

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

C2.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds only that the symbol is a questioner ID obtained elsewhere and that the return type is str ('回答'); it does not disclose pagination, rate limits, or return shape beyond a bare type.

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

Conciseness2/5

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

The text is short but is a raw docstring dump: a URL, then ':param'/':type'/':return'/':rtype' tags with no front-loaded summary. Structure serves autodoc, not an agent deciding whether/how to call the tool.

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

Completeness2/5

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

With no output schema and a single undocumented-schema parameter, the description should clarify what is returned and how the ID maps to a question. It offers only 'rtype: str' and an ambiguous ID definition, leaving the agent to guess.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must carry the parameter burden. It labels symbol as '提问者编号' (questioner ID), yet the embedded URL uses 'questionId=' and the default value looks like a question ID, creating ambiguity about what the parameter actually identifies.

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

Purpose2/5

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

The description is essentially the title label '互动易-回答' (Hudongyi - answer) plus a source URL and Sphinx docstring tags. It never states a clear verb like 'retrieve' or explains that it fetches the investor Q&A answer for a given question, so the purpose is largely inferred from the tool name rather than explained.

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

Usage Guidelines2/5

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

There is one implicit prerequisite: 'obtain the questioner ID via ak.stock_irm_cninfo()'. That is useful, but there is no statement of when to use this tool versus the many sibling tools (e.g., stock_irm_cninfo, nlp_answer), nor any when-not guidance.

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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