macro_australia_ppi_quarterly

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering the safety profile. The description adds the source URL and return type (DataFrame), which provides some context about the data source but does not disclose other behavioral traits like data freshness, column details, or pagination behavior. Given the annotations, this is an acceptable but not enriched disclosure.

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 short and front-loaded with the tool's title and source URL. It includes only essential information, though the return line repeats the indicator name already in the title and the rtype line is redundant for a function that will return a DataFrame. It is still concise and well-structured for a docstring.

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 zero-parameter, read-only data retrieval tool, the description provides enough to understand the basic purpose and source, but it omits details like data frequency (quarterly is in the name), historical depth, column names, or units. Since there is no output schema, more detail on the returned DataFrame would improve completeness, but the simplicity of the tool makes this acceptable.

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 trivially 100%. With no parameters to document, the baseline is 4, and the description does not need to explain any inputs. The description adds nothing about parameter semantics, but none are needed.

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's purpose: it returns Australia's Producer Price Index quarterly data from Eastmoney. The Chinese title and return line specify the exact indicator and source, distinguishing it from sibling tools like macro_australia_cpi_quarterly. However, it lacks an explicit action verb such as 'get' or 'retrieve', relying on the function name and return statement.

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 to use this tool versus other Australia macro indicators. The description is purely declarative, stating what the tool returns but offering no context about when it is appropriate or how it differs from similar tools like macro_australia_cpi_quarterly or macro_australia_retail_rate_monthly.

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