macro_usa_current_account

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds the data range (20080317-present), the source URL, and the return type (pandas.DataFrame), which is useful behavioral context beyond the annotations, but it does not describe update frequency, freshness, or other operational traits.

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 with the report name and coverage period. The source URL and return-type lines are mild redundancy but still compact. No filler sentences are present.

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 data-fetch tool whose annotations already cover safety, the description is nearly complete: it identifies the report, coverage period, source, and return type. It could include a brief note on what the current account report measures or its update cadence, but nothing essential to call it correctly is missing.

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 parameter semantics baseline is 4 per rubric. The description adds no parameter information because none exist, and there is nothing to compensate for.

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 names a specific macro report ('美国经常帐报告') and states the data coverage period (20080317-present), so an agent knows exactly which dataset this tool returns. It does not explicitly differentiate from similar siblings like macro_usa_trade_balance, but the resource is specific enough to be unambiguous.

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 this tool should be used versus alternatives. No conditions, prerequisites, or sibling comparisons are mentioned. The agent must infer usage entirely from the tool name and description.

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