stock_gdfx_holding_detail_em

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds only that the data comes from Eastmoney and is returned as a pandas.DataFrame; it says nothing about rate limits, auth, pagination, or update cadence, which is a modest contribution given the 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.

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

The docstring is front-loaded with the data source and purpose, but the reST param/type block repeats type: str three times, which is redundant with the schema and adds low-value lines. It is functional but not tight.

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?

With three optional parameters and no output schema, the description covers the parameter semantics well but describes the return only as 十大股东 / pandas.DataFrame, giving no sense of the columns or shape an agent should expect. Adequate but with a visible gap for a data-retrieval tool.

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?

Schema description coverage is 0% and the schema exposes no enums, yet the description documents each of the three parameters' meaning (报告期, 股东类型, 持股变动) and enumerates the valid values for indicator and symbol, which is essential information absent from the schema. It does not spell out the date string format, but the default value conveys it.

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 names a specific resource and scope: Eastmoney data-center top-ten shareholder holding detail (十大股东), with a source URL. It is clear what is retrieved, but it does not explicitly differentiate itself from close siblings like stock_gdfx_free_holding_detail_em or stock_gdfx_top_10_em, leaving the freed-float vs total-holder distinction to inference.

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 statement of when to use this tool versus the many gdfx/holding siblings, nor any prerequisite or exclusion. Usage is only implied by the parameter list.

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