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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), but the description adds real behavioral context beyond them: one record per call, carbon prices are dated snapshots rather than live quotes, and the health domain offers no diagnosis, treatment or dosing guidance. It does not say what happens if both id and keyword are omitted or both supplied (schema lists zero required params), which is the one unanswered behavioral question.

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?

Front-loaded with the purpose, then Guidelines, Limits and an example, so an agent can stop reading early. Slightly padded by enumerating return fields that the output schema already documents, but no sentence is irrelevant.

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?

An output schema exists, so return values need not be explained, and the description still covers what to pass, why to call it, and domain-specific caveats. The remaining gap is the unspecified resolution behavior when neither or both of id/keyword are supplied, given that the schema marks no parameters as required.

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?

Schema description coverage is 100%, so the baseline is 3, and the description earns an increment by restating the id/keyword mutual exclusivity in operational terms and showing example values including language. It adds modest semantic value (e.g. 'distinctive keyword') rather than new parameter detail.

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?

States a specific verb+resource ('fetch one cross-domain benchmark record by ID or keyword') and enumerates the returned fields, so an agent immediately knows this is a single-record lookup rather than a search. It is clearly distinguished from the sibling query_domain_benchmarks, which is the tool that produces the IDs consumed here.

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?

Explicitly names the workflow: take the ID returned by query_domain_benchmarks or supply a distinctive keyword, and invoke this 'whenever a cross-domain fact is going to be quoted' so the citation carries a source link. Concrete example calls are provided for both the id and keyword paths.

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