stock_zh_a_gbjg_em

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds the data source URL and the return type (pandas.DataFrame), but does not disclose any additional behavioral traits such as code format requirements, data update frequency, or potential limitations. It adds some value beyond annotations but is not rich.

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 a tight, structured docstring with title, source URL, parameter, and return type. Every line serves a purpose with no fluff or repetition. It is front-loaded with the title and immediately informative.

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 description is adequate for a simple, single-parameter, read-only data-fetching tool. It specifies the return type and data source, and the annotations cover safety semantics. It does not describe output columns or edge cases, but for this level of complexity the information is reasonably complete.

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 has zero description coverage for the 'symbol' parameter, but the description compensates by documenting ':param symbol: 股票代码' and ':type symbol: str'. The default value in the schema ('603392.SH') provides a concrete format example. This is sufficient for the single parameter.

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 clearly identifies the tool as retrieving A-share equity structure data (股本结构) from Eastmoney, with a URL and return type confirming the purpose. It lacks an explicit verb like 'get' or 'retrieve', but the resource and scope are specific and distinguish it from generic stock tools.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention exclusions, prerequisites, or why this tool should be chosen over similar sibling tools like stock_zcfz_em or stock_zh_a_gdhs. The context is purely descriptive with no decision support.

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