macro_canada_cpi_monthly

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 a source URL and return type (pandas.DataFrame), which is useful context but does not describe pagination, rate limits, or data structure details. With annotations providing the safety baseline, the description's contribution is adequate but not rich.

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 concise, consisting of a title line, URL, return name, and return type. It is front-loaded with the key information and contains no unnecessary elaboration. The title line somewhat repeats the tool name, but overall it is efficient and easy to scan.

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?

Given the tool's simplicity (0 parameters, no output schema), the description provides the source URL and return type, which is a reasonable baseline. However, it does not clarify the DataFrame's columns, date range, or units, which could be important for an agent deciding whether this data meets a need. The indicator name is clear, but the completeness is only adequate.

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 is empty with 100% coverage. Per the scoring rules, the baseline for 0 parameters is 4. The description does not need to explain any parameters, and it does not add anything beyond what the schema already implies (no parameters 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 labels the tool as Eastmoney economic data for Canada's Consumer Price Index monthly rate, which identifies the resource and scope. It distinguishes from sibling tools like macro_canada_cpi_yearly by explicitly specifying '月率' (monthly rate). However, it lacks an explicit verb (e.g., 'get' or 'return'), though the URL and return statement imply retrieval.

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 explicit guidance on when to use this tool versus alternatives like macro_canada_cpi_yearly or macro_canada_core_cpi_monthly. The name and description imply usage for monthly CPI data, but no exclusions or alternative references are provided. This is borderline between implied usage and no guidance, so a 3 is appropriate.

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