stock_gdfx_free_holding_change_em

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, covering the safety profile. The description adds that it returns a pandas DataFrame of top 10 circulating shareholders and that the date is the report period. It does not disclose additional behavioral traits such as data update frequency, pagination, or quirks, but given the annotations this is acceptable, though minimal.

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

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

The description is structured as a docstring with a title line, URL, param, and return type, which is readable. However, it redundantly repeats the annotation title verbatim at the start, and the URL adds length without immediate value for an agent. Every line earns some place, but the redundancy and unnecessary URL make it less concise than ideal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one optional parameter, read-only, no output schema), so the description covers the basics: source, parameter, and return type. However, it does not explain the contents of the returned DataFrame (e.g., columns like shareholder name, change in shares, holding ratio), nor does it clarify whether the data covers all stocks or a specific stock. Without an output schema, this lack of detail leaves the agent partially informed.

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

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema provides no description for 'date' (0% coverage), so the description's ':param date: 报告期' adds crucial meaning—it clarifies the parameter is the report period. It also states the type as str. However, it does not specify the required format (e.g., YYYYMMDD) beyond what the schema default implies, and it doesn't explain acceptable values like quarter-end dates.

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

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

The description identifies the data source (East Money), the category (shareholder holding change statistics), and the target (top 10 circulating shareholders). It also documents the report period parameter and return type. However, it lacks an explicit verb like "retrieves" and doesn't clearly distinguish itself from sibling tools like stock_gdfx_free_holding_analyse_em, aside from the tool name and the phrase "持股变动统计" in the title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as stock_gdfx_free_holding_statistics_em or stock_gdfx_top_10_em. The description does not explain the context (e.g., for a specific report period, all stocks) or any prerequisites. The URL and parameter hint at usage but do not provide explicit selection criteria.

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