macro_china_whxd

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 clear. The description adds a source URL and return format (pandas.DataFrame), but no additional behavioral details such as data freshness, pagination, or rate limits. This meets the lower bar set by annotations but does not enrich much beyond them.

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 and front-loaded, but it repeats the same phrase '东方财富-外汇贷款数据' twice, which is redundant. It also mixes a URL and a Python-style docstring return tag, which is a bit unstructured. It earns a middle score because it is brief but not perfectly streamlined.

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 is a simple no-parameter data fetch, the description gives the source and return type, which is enough to call it. However, it does not explain what the data contains (e.g., historical series, current values, units) or whether it is updated periodically, leaving gaps for an agent trying to interpret the result. This is adequate but not complete.

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 is trivially complete. The description adds no parameter information because none is needed. The return type is stated, which helps understand what the tool produces.

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 tool as returning East Money (东方财富) foreign exchange loan data, with a source URL. It distinguishes itself from sibling tools by naming the specific dataset, but lacks an explicit verb like 'get' or 'retrieve' and does not describe the data's scope.

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. It only provides a title and return type, with no context on typical use cases or comparisons to other macro_china tools.

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