macro_australia_unemployment_rate

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds the source URL and return type (pandas.DataFrame), but does not disclose details about the data's content, frequency, or range, leaving the agent to infer the exact 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 description is concise, with only the title, source URL, and return type. It is front-loaded with the essential identification, but the docstring format (':return:') is not tailored for agent consumption, and the URL is not functional.

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 simplicity (no parameters, no output schema), the description provides basic adequacy but lacks detail on what the returned DataFrame contains (e.g., columns, time range, update frequency). The sibling tools for other Australian indicators are similar, so the agent might need more context to differentiate data contents.

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 empty input schema accurately reflects that. The description adds no parameter information, but none is needed; the baseline for zero-parameter tools is 4.

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 fetching Australia's unemployment rate from Eastmoney economic data, distinguishing it from sibling tools covering other countries or indicators. However, it lacks an explicit action verb like 'fetch' or 'retrieve', relying on the name to convey the function.

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. The specific country and indicator in the name imply its use case, but there is no mention of exclusions or alternative tools for other data series.

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