macro_china_exports_yoy

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is fully covered. The description adds useful behavioral context with the historical coverage window (1982-02-01 to present) and the upstream source URL, but says nothing about frequency or update behavior.

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 core sentence and data range are front-loaded and efficient, but the ':return:' and ':rtype:' lines largely restate the opening sentence, adding redundancy rather than information.

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 no-argument historical report this is adequate: coverage window and source are given, and the return type (pandas.DataFrame) is stated. However, with no output schema, the description still leaves the DataFrame's columns and structure unexplained, which would help an agent interpret results.

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?

Zero input parameters with 100% schema coverage, so the baseline of 4 applies; there are no parameters requiring semantic 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?

States a specific resource and measurement (China exports YoY in USD), so an agent knows exactly what data is returned. It does not, however, distinguish itself from adjacent siblings such as macro_china_imports_yoy or macro_china_trade_balance, so the differentiation requires the tool name alone.

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 contains no when-to-use indication, no prerequisites, and does not name or reference any alternative tool. The agent must infer usage purely from the resource name.

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