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kevynf

AKBridge MCP Server

by kevynf

stock_restricted_release_stockholder_em

Read-onlyIdempotent

Fetches stockholder details for restricted share unlock events using stock symbol and date. Retrieves data from Eastmoney's list of restricted stock release shareholders.

Instructions

东方财富网-数据中心-个股限售解禁-解禁股东 https://data.eastmoney.com/dxf/q/600000.html :param symbol: 股票代码 :type symbol: str :param date: 日期; 通过 ak.stock_restricted_release_queue_em(symbol="600000") 获取 :type date: str :return: 个股限售解禁 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo20200904
symbolNo600000
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety is covered. The description adds only the return type (pandas.DataFrame) and source URL, without further behavioral disclosure (e.g., columns, pagination, rate limiting). No contradiction with annotations.

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 a compact docstring with a source URL, parameter documentation, and return type, with no filler content. The first line duplicates the annotation title, but overall the length is appropriate for a simple tool.

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?

There is no output schema, and the description only states that the return is a pandas DataFrame of '个股限售解禁' without detailing columns or data contents. It provides enough to attempt a call (parameters and source), but not a complete picture of the returned data.

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?

Schema description coverage is 0%, but the description gives meaning to both parameters: symbol is '股票代码' and date is explained as a date string obtained via another function. This adds operational guidance beyond the schema defaults, though it does not specify date format explicitly (the schema default shows YYYYMMDD).

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

Purpose3/5

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

The description is essentially a source path with no explicit verb (e.g., 'get', 'list'), just names the resource '东方财富网-数据中心-个股限售解禁-解禁股东'. The parameter and return docs imply retrieval, but the purpose is stated as a noun phrase rather than a clear action.

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

Usage Guidelines3/5

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

The date parameter is described as '通过 ak.stock_restricted_release_queue_em(symbol="600000") 获取', which implies a dependency and workflow, and an example URL is given. However, there is no explicit comparison to sibling tools (e.g., stock_restricted_release_detail_em or queue) or when to prefer this one.

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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