macro_china_hgjck

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds the source URL and return type but provides no additional behavioral context such as data structure, time range, or limitations, which is acceptable given the simple read-only nature but adds limited value beyond 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 concise and structured with labels, front-loading the key resource information. It repeats the Chinese title in the :return: field, which is slightly redundant, but overall it is minimal and to the point.

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 parameterless read-only tool, the description covers the source and return type. However, it lacks details about the DataFrame columns, data period, or any qualifiers, which would help an agent understand the exact output and how to interpret it.

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 no parameters, so parameter semantics are trivially satisfied. The description does not need to compensate for missing parameter details, meeting the baseline of 4 for zero-parameter tools.

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 clearly identifies the resource as the Eastmoney customs import/export increase/decrease list and provides the source URL and return type (pandas.DataFrame). While it lacks an explicit verb like 'fetch', the meaning is unambiguous and the tool is distinguished from other macro_china_* siblings by its specific data content.

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?

No guidance is given on when to use this tool versus alternatives. It only states the data source and return type, with no mention of exclusions or alternative tools, leaving the agent to infer usage solely from the resource description.

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