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kevynf

AKBridge MCP Server

by kevynf

fund_announcement_personnel_em

Read-onlyIdempotent

Fetch Eastmoney fund personnel adjustment announcements by fund code, returning a pandas DataFrame of related notices.

Instructions

东方财富网站-天天基金网-基金档案-基金公告-人事调整 https://fundf10.eastmoney.com/jjgg_000001_4.html :param symbol: 基金代码;可以通过调用 ak.fund_name_em() 接口获取 :type symbol: str :return: 人事调整-公告列表 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo000001

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, covering the safety profile. The description adds the return type (pandas.DataFrame) and the source URL, which is useful return-format context, but it does not disclose rate limits, authentication, or other behavioral traits beyond 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 compact and front-loads the data source and category. The inclusion of a sample URL is slightly extraneous but still informative; every other sentence earns its place.

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

Completeness4/5

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

For a single-parameter, read-only data retrieval tool with no output schema, the description covers the purpose, parameter meaning, and return type adequately. It lacks explicit usage alternatives, but that is a minor gap given the tool's simplicity and the annotations' coverage of safety.

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%, so the description must carry the full burden. It defines 'symbol' as a fund code and explicitly tells the agent how to obtain it by calling ak.fund_name_em(), adding substantial meaning beyond the bare schema.

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?

The description names the specific data source and announcement category (東方財富基金公告-人事調整) and the return type (人事調整-公告列表). It clearly distinguishes this tool from sibling announcement tools such as fund_announcement_report_em and fund_announcement_dividend_em by specifying 'personnel adjustments'.

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 description does not state when to use this tool versus alternatives; it only implies usage through the category name. It does provide a hint on obtaining the symbol via ak.fund_name_em(), which is a useful usage note for the parameter but not for tool selection.

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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