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kevynf

AKBridge MCP Server

by kevynf

stock_individual_basic_info_xq

Read-onlyIdempotent

Retrieve company overview and profile for a given stock symbol from Xueqiu, returning structured data including business description and corporate details.

Instructions

雪球-个股-公司概况-公司简介 https://xueqiu.com/snowman/S/SH601127/detail#/GSJJ :param symbol: 证券代码 :type symbol: str :param token: 雪球财经的 xq_a_token :type token: Optional[str] :param timeout: 设置超时时间 :type timeout: Optional[float] :return: 公司简介 :rtype: pandas.DataFrame :raises APIError: 雪球接口需要有效登录态时抛出

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNo
symbolNoSH601127
timeoutNo
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description adds context about auth requirements (APIError when valid login is needed), the optional token, and DataFrame return type. It does not contradict annotations, but omits external network behavior and potential rate limits.

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

Conciseness4/5

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

The description is well-structured with title, URL, parameter docs, return type, and raised exception. It front-loads the purpose and each line contributes, though the title is redundantly repeated in the annotations.

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

Completeness3/5

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

The tool is simple and annotations cover safety, but there is no output schema, so the description should clarify the return structure more than just '公司简介 DataFrame'. It also doesn't explicitly state market scope (A-share vs HK/US) or whether symbol is required despite having a default, leaving moderate gaps.

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

Parameters4/5

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

The input schema has 0% property description coverage, so the docstring compensates by explaining symbol as 证券代码, token as xq_a_token, and timeout as 超时时间. However, it lacks detail on timeout units and the exact symbol format (e.g., SH prefix), preventing a higher score.

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

Purpose4/5

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

The description clearly identifies this as a Xueqiu individual stock company profile tool, with title '公司简介' and a specific URL. The name and siblings imply A-share scope, but it doesn't explicitly state 'A-share' or distinguish from HK/US variants beyond naming.

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?

No explicit guidance on when to use this tool versus alternatives like stock_individual_basic_info_hk_xq or stock_individual_info_em. The URL and source name imply Xueqiu usage, but there are no stated conditions, exclusions, or alternative recommendations.

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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