stock_analyst_rank_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 clear. The description adds a source URL and return type (pandas.DataFrame), but gives little additional behavioral context such as rate limits, error behavior, or what the DataFrame contains. No contradiction with annotations.

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 begins with a long, redundant title repeated in consecutive phrases ('东方财富分析师指数-东方财富分析师指数'), which wastes space. While the docstring sections are structured, the overall text is not concise or front-loaded with key information, making it harder for an agent to quickly grasp the tool's purpose.

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?

Given there is no output schema, the description should clarify what the returned DataFrame contains, but it only repeats the index name without describing columns, granularity, or meaning. The URL and parameter range are present, but missing usage context and return-value details leave the tool under-specified for effective selection and invocation.

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 no description for the 'year' parameter (0% coverage), but the description's docstring explains it accepts a string from 2015 to present. This provides meaningful guidance on the expected format and valid range, effectively compensating for the missing schema description.

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 is essentially a noun phrase ('东方财富分析师指数') repeated twice, with a URL and docstring, but no verb stating what the tool does. It restates the tool name rather than specifying an action like 'queries' or 'returns', so it fails to clearly convey the tool's function.

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 alternatives. The description only provides a parameter range and return type, with no mention of use cases, prerequisites, or contexts where this tool is appropriate. It also does not differentiate it from sibling tools.

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