macro_china_enterprise_boom_index

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the source URL and a return type, but does not disclose additional behavioral traits such as data frequency, range, or whether it scrapes dynamically. With annotations present, the minimal extra context is acceptable but not rich.

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 only a URL, a Chinese title, and a return type annotation. It is front-loaded with the source URL and title, and each element serves a purpose. It is appropriately sized for a no-parameter data retrieval tool, though it could benefit from a small amount of explanatory prose.

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 description names the specific economic index and identifies the source URL, which helps an agent understand what data is returned. However, there is no output schema and the description does not describe the DataFrame's columns, frequency, or historical coverage. Given the large number of sibling tools, a bit more detail would help disambiguate, but the core purpose is reasonably covered.

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 input schema is trivially complete with 100% coverage. Per the baseline for 0 params, the description need not explain parameter semantics. The absence of parameters is fully clear.

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 data source via URL and gives a clear Chinese title '中国-企业景气及企业家信心指数' (China Enterprise Prosperity and Entrepreneur Confidence Index), which specifies the content. The return type pandas.DataFrame confirms it is a data retrieval function. However, there is no explicit verb like 'get' or 'fetch', though the title makes the purpose sufficiently clear.

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 provides no guidance on when to use this tool instead of the many other macro_china_* tools. There are no alternatives mentioned, no context for use cases, and no exclusions. An agent is left to infer the tool's niche solely from the title.

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