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kevynf

AKBridge MCP Server

by kevynf

fund_etf_fund_info_em

Read-onlyIdempotent

Retrieve historical net value details for exchange-traded funds (ETFs) from Eastmoney's TianTian Fund site by fund code and optional start/end dates.

Instructions

东方财富网站-天天基金网-基金数据-场内交易基金-历史净值明细 https://fundf10.eastmoney.com/jjjz_511280.html :param fund: 场内交易基金代码,可以通过 fund_etf_fund_daily_em 来获取 :type fund: str :param start_date: 开始统计时间 :type start_date: str :param end_date: 结束统计时间 :type end_date: str :return: 东方财富网站-天天基金网-基金数据-场内交易基金-历史净值明细 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fundNo511280
end_dateNo20500101
start_dateNo20000101

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, so the safety profile is fully covered. The description adds only the source site and the return type (pandas.DataFrame); it omits date format, pagination, rate-limit and column-shape details that would be genuinely additive.

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 source-path header is repeated three times (description opening, :return and :rtype), and the title duplicates it again, so there is measurable redundancy. The structure is front-loaded but wastes sentences restating the same provenance.

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, but the :rtype pandas.DataFrame line signals the return shape, and all parameters are described. Missing pieces are date-format conventions and the returned column set, which an agent would need to interpret results correctly.

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

Parameters3/5

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 load, and it does name all three parameters (fund, start_date, end_date) with Chinese meanings and a source tool for fund codes. However it never states the required date format (YYYYMMDD implied only by the defaults) or how date bounds are interpreted.

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 data source (东方财富-天天基金网) and the exact resource (场内交易基金-历史净值明细), which is a specific verb+resource and distinguishes it from sibling fund tools like fund_etf_fund_daily_em (daily quotes). It stops short of a concise English statement of the action, but the scope is unambiguous.

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 only routing guidance is that the fund code '可以通过 fund_etf_fund_daily_em 来获取', which is a useful dependency hint pointing to a sibling. There is no guidance on when to prefer this over fund_etf_hist_em or fund_open_fund_info_em, and no explanation of the effective date range implied by the defaults.

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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