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kevynf

AKBridge MCP Server

by kevynf

stock_financial_benefit_new_ths

Read-onlyIdempotent

Retrieve income statement financial indicators from TongHuaShun for a stock symbol, with options for quarterly or annual reporting periods.

Instructions

同花顺-财务指标-利润表 https://basic.10jqka.com.cn/astockpc/astockmain/index.html#/financen?code=000063 :param symbol: 股票代码 :type symbol: str :param indicator: 指标; choice of {"按报告期", "一季度", "二季度", "三季度", "四季度", "按年度"} :type indicator: str :return: 同花顺-财务指标-利润表 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo000063
indicatorNo按报告期
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 the source URL, return type, and indicator choices, but does not discuss data freshness, rate limits, or potential edge cases. 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 title, source URL, parameter documentation, and return type. It is well-structured and free of fluff, though it could be improved by front-loading a single clear sentence of what the tool does.

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 simple 2-parameter, read-only tool with no output schema, the description provides the source URL, parameter choices, and return type. This is adequate, though it lacks usage examples or caveats that could help in edge cases.

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?

The input schema has no descriptions (0% coverage), but the description provides definitions for both parameters, including the valid choices for 'indicator'. This significantly adds meaning beyond the bare schema, though the symbol explanation is generic.

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 clearly states this is a THS financial indicator (income statement) retrieval tool, identifying the data source URL and the return type as a pandas DataFrame. However, it does not differentiate from the sibling tool stock_financial_benefit_ths, so it misses full sibling distinction.

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?

No guidance is provided on when to use this tool versus alternatives among the many financial tools in the sibling list. It only describes what the tool returns, without context on scenarios or exclusions.

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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