macro_australia_trade

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

Annotations declare the tool as read-only, idempotent, and non-destructive, covering safety. The description adds the data source URL and return type (pandas.DataFrame), but this is minimal. It does not describe potential quirks like date ranges or data granularity, but given the annotations, this is acceptable.

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 very concise, including only the source, the return data concept, and the return type. It is not verbose, though the structure is more of a code docstring than a human-readable explanation, but it is efficient.

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?

With no parameters and no output schema, the description is somewhat complete but lacks details about the returned DataFrame contents (columns, frequency, units) and historical coverage. The source URL hints at context but is not explained. For a simple data retrieval tool, this is near the minimum viable level.

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 coverage is 100% (empty properties). No parameter documentation is needed, and the description does not attempt to add unnecessary parameter details.

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 identifies the tool as returning Australia's trade balance (贸易帐) from East Money economic data, naming a specific resource and the returned data. It distinguishes from sibling Australia macro tools by the trade balance topic, though it lacks an explicit verb like 'get' or 'fetch'.

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 provided on when to use this tool versus alternatives. With many sibling Australia macro tools, the description does not mention that this is specifically for trade balance data or exclude other indicators.

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