macro_china_lpr

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

The annotations already declare readOnlyHint, openWorldHint, and idempotentHint, which cover the basic safety profile. The description adds no further behavioral context such as data freshness, pagination, or potential errors. It only mentions the return type (DataFrame), which is not a behavioral trait.

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 includes redundant content by repeating 'LPR品种详细数据' and adding a docstring-style return type. The URL may be informative but does not help an AI agent select or invoke the tool. It is concise overall, but not every element adds value.

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?

Despite having no parameters and no output schema, the description leaves gaps about what the LPR data actually includes (e.g., tenors, historical range, columns). An agent would need more detail to understand what to expect from the returned DataFrame. The description is minimally viable but incomplete.

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 empty and the description need not explain parameter details. The baseline for zero-parameter tools is 4, and the description does not introduce any confusion about 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 identifies the resource as LPR and indicates 'detailed data', which makes it clear the tool provides LPR information. However, it uses a noun phrase rather than an explicit verb like 'retrieve' or 'get', and does not explicitly distinguish itself from sibling macro tools beyond the LPR topic.

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 the many sibling macro tools. It does not state any use cases, prerequisites, or alternatives. The description simply provides a source URL and return type, leaving the agent to guess the appropriate context.

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