fund_manager_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. The description adds that the data source is East Money's fund manager page and returns a DataFrame, which provides some context, but it does not disclose additional behavioral traits like pagination, rate limits, or data 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 description is extremely brief, consisting of a title, a URL, and return-type annotations. It is not verbose, but it lacks a coherent sentence structure and under-specifies the tool's function beyond a label.

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?

For a simple no-parameter list retrieval, the description is minimally adequate, but it does not describe the DataFrame columns, the scope of 'all' managers, or any filtering limitations. The absence of an output schema increases the need for such details, which are missing.

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, so the baseline score is 4. The description does not need to document parameters, and it does not conflict with the empty input schema.

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 tool as '天天基金网-基金数据-基金经理大全' (East Money fund manager list) and specifies a return type of pandas.DataFrame, but it lacks an explicit verb like 'get' or 'list'. It is clear the tool retrieves a fund manager directory, but the description reads more like a title than a functional statement.

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 alternative fund-related tools such as fund_aum_em or fund_cf_em. No exclusions or preferred contexts are mentioned, leaving the agent to infer the tool's applicability.

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