index_outer_quote_sugar_msweet

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

Annotations already disclose read-only and idempotent behavior, so the description adds the source URL and return type. However, the `:return:` line states '配额内' (quota inside) while the title and tool name indicate '配额外' (quota extra), creating ambiguity about the data content. No details about columns, time range, or data granularity are provided.

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 very brief (a title, URL, and docstring), but the structure is loose—the URL sits between the title and return tags, and the return line contains a typo ('配额内') that could confuse. Still, it is not verbose or redundant.

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 zero-parameter tool with no output schema, the description should clarify what the returned DataFrame contains and how to interpret the index. The contradictory return line ('配额内' vs '配额外') and lack of any description of the data schema make it incomplete. Annotations provide safety but not content details.

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 takes zero parameters, so the empty schema is trivially complete. The description's docstring mentions the return type (pandas.DataFrame) but no parameter details are needed. Baseline 4 applies for 0 parameters.

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 names a specific resource ('配额外进口糖估算指数' – extra-quota imported sugar estimated index) and provides a source URL, with docstring return tags indicating it returns a pandas DataFrame. This distinguishes it from the sibling 'index_inner_quote_sugar_msweet' (配额内), though the action verb (fetch/retrieve) is implied rather than explicit.

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 such as index_inner_quote_sugar_msweet. The description offers no contextual hints about selection criteria, exclusions, or use cases.

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