macro_china_yw_electronic_index

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, covering safety. The description adds the return type and a data source URL but no further behavioral traits such as update frequency, data range, or access limitations. It does not contradict the 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 is extremely brief yet front-loaded, consisting of a title, URL, and return annotations. It is waste-free but fragmentary, reading more like a docstring header than a coherent instruction. For a simple no-parameter tool this is appropriate, though it could use one sentence of explanation without losing conciseness.

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 the tool's simplicity (no parameters, read-only retrieval), the description is minimally sufficient, but it fails to explain what the returned DataFrame contains (e.g., columns, time range, index history). With no output schema, the description must carry that burden, and it only states the type. It is not egregiously incomplete relative to similar tools but lacks useful detail.

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 accepts no parameters and the schema provides 100% coverage (empty object). With zero parameters, the baseline is 4, and no description compensation is needed. The description adds no parameter mechanics because none exist.

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 tool as '义乌小商品指数-电子元器件' (Yiwu Small Commodity Index – Electronic Components) with a source URL and a return type of pandas.DataFrame. This clearly names a specific resource and distinguishes it from sibling index tools like macro_china_energy_index, though it lacks an explicit action verb such as 'retrieves'.

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. No mention of use cases, prerequisites, or exclusions. The description simply states what the index is, providing no contextual direction for selecting it over related macro/economic index tools.

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