macro_australia_cpi_quarterly

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so safety is well-covered. The description adds no behavioral context such as data coverage, update frequency, response size, or limitations. The only additional info is the URL and return type, which is minimal.

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 compact, with a title, URL, and return type note. It is front-loaded with the key information and contains no verbose filler. However, the reliance on a label-style title and the inclusion of a URL that isn't essential for tool invocation prevent a perfect score.

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 tool with no output schema, the description states the return type (DataFrame) and the metric (CPI quarterly rate), providing core context. It lacks details about the historical range, column names, units, or data granularity, which are relevant for an agent to fully understand the result. This is minimally adequate but with clear gaps.

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 an empty schema, so there is nothing to explain. The baseline for 0-param tools is 4. The description doesn't need to elaborate on parameters, and it doesn't.

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 explicitly identifies the data source (东方财富/Eastmoney), country (Australia), indicator (Consumer Price Index), and frequency (quarterly). This specific noun-phrase style makes the tool's purpose unmistakable and clearly distinguishes it from siblings like macro_australia_cpi_yearly and macro_australia_ppi_quarterly.

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 guidance on when to use this tool versus alternatives. It is simply a title and return type, with no mention of exclusions, related tools, or specific use cases. The usage is only implied by the name, not articulated.

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