macro_china_trade_balance

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

The annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering the safety and side-effect profile. The description adds useful context by stating the data range (19810201–present), return type (pandas.DataFrame), and source URLs, but it does not disclose update frequency, granularity, or authentication requirements, leaving some behavioral gaps.

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-loads the main report statement, but it includes two raw URLs and redundant :return/:rtype lines that restate what the description already conveys. These elements do not help an agent select or invoke the tool, so the structure is only moderately concise.

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?

Without an output schema, the description should carry more burden for explaining the returned data. It gives the report name, date range, and return type, but omits the frequency of observations, column structure, and update cadence, which an agent would need to use the data correctly. It is adequate but incomplete for a no-parameter macro data retrieval tool.

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 and the schema description coverage is 100%, so there are no parameter semantics for the description to clarify. Per the rubric, a zero-parameter tool receives a baseline of 4 when the schema requires no additional explanation.

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 China's trade balance report calculated in USD, with an explicit historical data range starting from 19810201. This distinguishes it from sibling trade balance tools such as macro_usa_trade_balance and macro_euro_trade_balance, though it could more explicitly state when to choose it over those alternatives.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. It mentions the data range, but does not explain whether it is appropriate for historical analysis, monthly tracking, or comparison with other macro indicators. The agent is left to infer usage from the tool name and data range alone.

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