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kevynf

AKBridge MCP Server

by kevynf

stock_individual_fund_flow

Read-onlyIdempotent

Fetch recent fund flow data for a specific stock from East Money to track capital movements. Provide the stock code and market (sh, sz, bj) to receive a pandas DataFrame of fund flow metrics.

Instructions

东方财富网-数据中心-资金流向-个股 https://data.eastmoney.com/zjlx/detail.html :param stock: 股票代码 :type stock: str :param market: 股票市场;上海证券交易所:sh,深证证券交易所:sz,北京证券交易所:bj; :type market: str :return: 近期个股的资金流数据 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stockNo600094
marketNosh

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and openWorld, so the safety profile is covered. The description adds little beyond that - it notes the source site and that the return is a pandas.DataFrame of recent data, but no rate limits, auth needs, or column semantics.

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?

It is short, but the docstring boilerplate (:param/:type/:return/:rtype) plus the bare URL adds some non-actionable material. Purpose is front-loaded, which is good, but the format is a raw Python docstring rather than agent-oriented prose.

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?

With no output schema, two simple non-mutating parameters, and safety fully covered by annotations, the description is minimally adequate. It still omits return contents and, more importantly, any distinction from the many sibling fund-flow tools.

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 parameter burden, and it does: stock is identified as the stock code, and market is documented with its valid values (sh/sz/bj for the three exchanges). That is meaningful added meaning, though no code-format example is given.

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 a clear source+resource pair (东方财富网 数据中心 - 个股资金流向), so an agent knows this returns individual-stock fund-flow data. However, it gives no differentiation from near-duplicate siblings such as stock_fund_flow_individual or stock_individual_fund_flow_rank, leaving the agent to guess which fund-flow variant to pick.

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 when-to-use, when-not-to-use, or alternative guidance. Given the density of fund-flow siblings in the toolset, this is a real gap: nothing tells the agent to prefer this over a market-wide or rank-style flow tool.

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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