macro_canada_core_cpi_monthly

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

Annotations already convey that the tool is read-only, idempotent, and non-destructive. The description adds only the data source and return type, but discloses no other behavioral traits such as data frequency, historical range, or release delay. Thus it contributes little beyond the structured 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 very brief—a title, URL, and standard return annotations—so it is concise and front-loaded. It wastes minimal space, though it does repeat the tool name almost verbatim, which is slightly redundant.

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 macro indicator, the description gives the series name and return type, which is somewhat useful. However, there is no output schema, and the description does not describe the structure of the returned DataFrame (e.g., columns, date range), leaving some ambiguity about what data is actually returned.

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 input schema has zero parameters and 100% schema description coverage, so there is no parameter semantics to clarify. With no parameters, the baseline of 4 is appropriate, and the description does not need to compensate for missing schema details.

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 identifies the tool as returning the Eastmoney Canada core CPI monthly rate, but it does so largely by restating the tool name in Chinese without a clear verb phrase. It gives the source and return type, and the term '月率' hints at the monthly frequency, but it does not explicitly contrast with the yearly sibling.

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 the closely related `macro_canada_core_cpi_yearly` or `macro_canada_cpi_monthly` alternatives. Usage context is only implied by the tool name and the URL, not by any explicit recommendation or exclusion.

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