macro_china_hk_cpi_ratio

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, which covers the safety profile. The description adds the return type (pandas.DataFrame) and the metric, but does not disclose additional behavioral traits such as data range, update frequency, or potential missing values. It does not contradict annotations.

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 and front-loaded with the most critical information: the source, the specific data indicator, the URL, and the return type. Every sentence is informational and not redundant. It appropriately uses a structured docstring format.

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 fetch, the description is reasonably complete: it names the data source, the metric, and the return type. However, with no output schema, it does not describe the columns or time-frequency of the DataFrame, which would be useful for an agent expecting a specific structure. Given the simplicity, this is a minor gap.

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, so the description does not need to explain parameter semantics. The schema confirms no required inputs, and the description correctly implies a no-argument call. Baseline of 4 is appropriate.

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 resource as 东方财富-经济数据一览-中国香港-消费者物价指数年率 (Eastmoney Economic Data Overview - Hong Kong - CPI YoY). It specifies the exact data item and source URL. The name and description together distinguish it from other HK macro tools by explicitly stating the year-on-year ratio.

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 usage guidance is provided. The description does not mention when to use this tool versus alternatives such as macro_china_hk_cpi or other HK economic indicators. There is no explicit context for selection, only an implicit 'this is what it provides'.

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