macro_china_commodity_price_index

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is known. The description adds only a return type (pandas.DataFrame) and a source URL, but does not disclose what the DataFrame contains, the index composition, data frequency, or any limitations. This is minimal and does not meaningfully enrich the behavioral context beyond 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 very short but also repetitive, repeating '大宗商品价格' three times. It includes a URL and docstring-style return annotations, but no structured explanation. This is under-specification rather than efficient conciseness, as the space is not used to add meaningful content.

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 no-parameter tool with no output schema, the description must at least clarify what the returned data represents, its granularity, and how it relates to sibling indices. Here, it only gives a generic Chinese label and a URL. Missing critical details like the index code EMI00662535, historical vs. current values, column structure, and update frequency make the description inadequate for an agent to use the tool confidently.

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 schema provides no parameter details to explain. Per the baseline rule, score 4 is appropriate because there is nothing for the description to add about parameters; it cannot be faulted for missing param semantics.

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 '大宗商品价格' is essentially a noun phrase that restates the tool name (commodity price index) without a verb indicating an action. It does not clarify what the tool does (e.g., fetch, return) nor distinguish it from sibling tools like macro_china_energy_index or macro_china_construction_price_index. The URL is the only unique identifier, but it is not explained.

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 or when to prefer alternative macro index tools. The description lacks any mention of typical use cases, prerequisites, or exclusions. An agent given this description would have no idea how to select it over siblings.

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