stock_sy_profile_em

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds minimal behavioral context beyond a source URL and return type (pandas.DataFrame). It does not disclose rate limits, authentication, or quirks, but given the annotations, this is adequate.

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 brief, containing a title line, a URL, and return type. It is structured with label-like formatting. The first line is redundant with the annotation title, but overall it is efficient and front-loaded, with no unnecessary filler.

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?

There is no output schema, so the description carries the burden of explaining the return value. It states it returns a pandas.DataFrame of the A-share goodwill market overview, but it does not describe columns, time periods, or granularity. Given the existence of several similar goodwill-related sibling tools, this lack of detail prevents full understanding of what data will be returned.

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 tool has zero parameters and the schema is empty, so there is nothing to document. Per the rubric, 0 params warrants a baseline of 4, and the description correctly avoids inventing parameter details. The return type mention is not related to parameters but is harmless.

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 providing the A-share goodwill market overview from East Money's data center, with a source URL and return type. It does not explicitly state an action verb like 'get' or 'fetch', but the resource and scope are specific. It does not differentiate from sibling tools such as stock_sy_em, so it lacks sibling distinction.

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?

The description does not provide any explicit guidance on when to use this tool or mention alternative tools. The use case is implied by the name and description: if an agent needs A-share goodwill market overview data, this tool is appropriate. However, there are no exclusions, prerequisites, or alternative recommendations, so it stops at implied usage.

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