fund_rating_zs

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 that the return is a DataFrame of 招商证券评级-混合型 and provides a URL to find the query date. This adds some behavioral context but does not disclose potential scraping behavior, rate limits, or data freshness.

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 short but somewhat repetitive, with the same URL appearing twice. It uses a docstring-like structure with param/return sections, which is organized, but the opening line is a duplicate of the title. There is no clear, front-loaded summary sentence. It is concise but not optimally structured.

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 with one optional parameter and no output schema. The description provides the data source, return type (DataFrame of 招商证券评级-混合型), and parameter guidance. However, it does not explicitly state that only hybrid funds are returned, nor describe the DataFrame columns or any limitations. For the simplicity level, it is adequate but has gaps.

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%, so the description must compensate. It states 'date: 日期' and points to the URL for obtaining a valid query date. The type is given as str and the default '20230331' implies a YYYYMMDD format, but this is not explicitly stated. The description adds minimal meaning beyond the schema, though it at least identifies the parameter's purpose and a source for valid values.

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 resource: fund ratings from 天天基金网 (Eastmoney) specifically for 招商证券 (China Merchants Securities). The return type also specifies it covers hybrid funds (混合型). While there is no explicit verb like 'fetch' or 'query', the name and context make the action obvious. It differentiates from sibling rating tools by naming the agency, though it does not explicitly compare with them.

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 about when to use this tool versus alternatives such as fund_rating_all, fund_rating_ja, or fund_rating_sh. No mention of appropriate use cases, prerequisites, or exclusions. The only hint is the URL for obtaining a valid date, which is not usage guidance.

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