macro_canada_bank_rate

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the agent knows this is a safe read operation. The description adds the source URL and return type (pandas.DataFrame), which provides some context, but it does not disclose behavioral traits such as data coverage, update frequency, or rate limits. No contradiction with 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 short and front-loaded with the title and URL, but it repeats the title in the ':return:' line ('央行公布利率决议'), which adds redundancy. It is appropriately sized for a no-parameter tool but could be structured to avoid repetition.

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?

There is no output schema, so the description should ideally explain what data is returned, but it only says '央行公布利率决议' (interest rate decision) without fields, examples, or historical coverage. While the simple nature and annotations help, the lack of detail on return structure leaves the agent guessing about the DataFrame contents.

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 input schema is empty. Per the baseline, this scores 4 because there is no parameter ambiguity to resolve. The description does not need to add parameter semantics.

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 retrieving Canada's central bank interest rate decision from East Money's economic data section (央行公布利率决议), which clearly distinguishes it from sibling bank rate tools for other countries. However, it relies on a noun phrase rather than an explicit verb like 'Get' or 'List', making the intended action slightly less direct.

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 guidance on when to use this tool versus alternatives. The description provides only a source URL and return type, with no mention of suitable contexts, prerequisites, or alternative tools. The country is the only implicit differentiator, but no explicit usage direction is given.

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