macro_japan_cpi_yearly

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the data source URL and return type (pandas.DataFrame) but no additional behavioral traits such as data frequency, coverage period, or rate limits. It does not contradict the annotations, and the added context 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 concise, consisting of a title line, a URL, and return/rtype lines. It avoids unnecessary elaboration, and the source URL is informative. However, the structure is fragmented rather than a flowing natural-language sentence, which slightly reduces clarity.

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 simple, parameterless data-retrieval tool, the description provides the source, return type, and the specific data item. It does not describe the returned DataFrame's columns, update schedule, or any limitations, but given the simple nature and existing annotations, it is minimally adequate. More context would improve completeness.

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 input schema is empty and schema description coverage is 100%. The description need not explain parameters. The baseline for zero parameters is 4, and there is nothing more to add.

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 is essentially a noun phrase: '东方财富-经济数据-日本-全国消费者物价指数年率' (Eastmoney - Economic Data - Japan - National Consumer Price Index Year-on-Year Rate). It clearly identifies the specific data resource and differentiates from siblings like macro_japan_core_cpi_yearly by specifying '全国' (national), but it lacks an explicit action verb like 'fetch' or 'get', making it more of a title than a purpose 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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention usage context, exclusions, or alternative tools. For a parameterless fetch, the intended use is implied by the title, but there is no explicit statement of when this tool is appropriate.

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