Skip to main content
Glama
kevynf

AKBridge MCP Server

by kevynf

fund_fh_em

Read-onlyIdempotent

Retrieve fund dividend and distribution data from Eastmoney by year, fund type, sorting, and page to support income and payout analysis.

Instructions

天天基金网-基金数据-分红送配-基金分红 https://fund.eastmoney.com/data/fundfenhong.html#DJR,desc,1,,, :param year: 查询年份 :type year: str :param typ: 基金类型;空串表示全部;choice of {"指数型-其他", "指数型-海外股票", "指数型-固收", "指数型-股票", "债券型-中短债", "债券型-长债", "债券型-理财", "债券型-混合债", "债券型-混合一级", "债券型-混合二级", "货币型-普通货币", "货币型-浮动净值", "混合型-平衡", "混合型-偏债", "混合型-偏股", "混合型-灵活", "混合型-绝对收益", "股票型", "REITs", "Reits", "QDII-商品", "QDII-普通股票", "QDII-混合债", "QDII-混合偏股", "QDII-纯债", "QDII-REITs", "FOF"} :type typ: str :param rank: 排序字段;choice of {"BZDM", "ABBNAME", "DJR", "FSRQ", "FHFCZ", "FFR"}; "BZDM": 基金代码, "ABBNAME": 基金简称,"DJR": 权益登记日,"FSRQ": 除息日期,"FHFCZ": 分红(元/份),"FFR": 分红发放日 :type rank: str :param sort: 排序方向;排序方式;choice of {"asc", "desc"} :type sort: str :param page: 查询页数;请求第page页数据;-1 表示全部页面 :type page: int :return: 基金分红 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typNo
pageNo
rankNoBZDM
sortNoasc
yearNo2025

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.3/5.0
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 one behaviorally useful detail not in the schema: page=-1 means fetch all pages. Beyond that it only restates parameter types, so 3 is appropriate.

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

Conciseness3/5

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

The resource is front-loaded and the per-parameter docstring format is scannable, but the raw page URL and the duplicated Chinese title line add noise, and the long enum lists make it bulky. It is thorough rather than concise.

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?

Given five all-optional parameters, zero schema coverage and no output schema, the description supplies the enum vocabularies and defaults needed to call the tool correctly. It notes the return is a pandas.DataFrame but doesn't describe columns, which is acceptable with no output schema.

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% and no enums are declared in the schema, so the description carries the full burden. It documents all five parameters, and crucially enumerates the accepted values for typ (~26 fund categories), rank (six sort fields with Chinese expansions) and sort, which the schema alone would not convey.

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 names the source (天天基金网), the resource (基金分红/fund dividends) and the page URL, so the agent can tell it is a dividend-distribution data fetch. It lacks an explicit verb and doesn't name the closest siblings (fund_fh_rank_em, fund_announcement_dividend_em, fund_etf_dividend_sina), so disambiguation is left to the agent.

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 no statement of when to use this tool versus alternatives, no prerequisites, and no mention of sibling dividend tools. Usage is only implied by the parameter list (year/type/ranking).

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

Deploy Server

Other Tools