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shenqingtech

deepq-financial-toolkit

by shenqingtech

个股基本面:获取股票的PE、PB、ROE、毛利率、净利率,及公司财务等公司基本面数据

stockFunAnalysis

Analyze stock fundamentals by retrieving PE, PB, ROE, profit margins, and financial data for A-share companies to support investment research.

Instructions

个股基本面:获取股票的PE、PB、ROE、毛利率、净利率,及公司财务等公司基本面数据

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesA股股票名称或代码

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
msgYes
codeYes
dataNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It describes the tool as retrieving data, implying a read-only operation, but lacks details on behavioral traits such as rate limits, data freshness, authentication needs, or error handling. This is insufficient for a tool with no annotation coverage.

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 description is a single sentence that repeats the title verbatim, making it concise but lacking in structure. It is front-loaded with the purpose but does not earn its place with additional useful information, resulting in a mediocre score.

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?

Given the tool has an output schema, the description does not need to explain return values. However, with no annotations and a simple input schema, the description is minimal and does not fully address the tool's complexity or usage context, leaving gaps in completeness.

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 100%, with the parameter 'query' documented as 'A股股票名称或代码'. The description does not add any additional meaning beyond this, such as examples or constraints, so it meets the baseline score of 3 for high schema coverage without extra value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

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. The description does not mention prerequisites, exclusions, or specific contexts, leaving the agent to infer usage based on the tool name and sibling tools without explicit direction.

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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