通胀数据

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says the tool '获取' (gets) data and does not mention units, frequency semantics, defaults, update behavior, or whether it is read-only. '获取' implies a read operation but adds little beyond the title.

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 a single compact sentence with no filler. It front-loads the resource and scope, which is ideal for an agent scanning tool descriptions.

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 simple one-parameter retrieval tool with an output schema, the description is mostly adequate. However, it leaves ambiguity about whether monthly and annual data are returned together or separately, and about key formatting details like units and time periods, which could cause incorrect invocation or interpretation.

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 schema already documents the single parameter 'limit' with 100% coverage, so a baseline of 3 is appropriate. The description gives useful context about CPI/PPI and monthly/annual data, but it does not clarify how 'limit' applies across the two frequencies.

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 states a specific verb ('获取') and a specific resource ('中国CPI/PPI通胀数据'), including both data types and frequencies. It is clear about what the tool does, though it does not explicitly differentiate from the overlapping sibling tool macro_cpi.

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 macro_cpi or other macro indicators. The description only implies use for Chinese CPI/PPI data; it does not state exclusions, prerequisites, or selection criteria among siblings.

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