get_model_usage

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

With no annotations provided, the description carries full burden but only lists output types without explaining behavioral traits like idempotency, pagination, or error handling. It does not confirm read-only or disclose any side effects.

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 a single sentence, which is concise but not structured. Key information (returned items) is present but not front-loaded. It could be organized more effectively.

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?

With 4 parameters, low schema coverage, and no output schema, the description is insufficient. It mentions output types but not their structure, limitations, or combinations. Missing details like pagination behavior of 'limit' parameter.

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 only 25% (only 'model' has a description). The tool description does not elaborate on 'type', 'language', or 'limit' parameters, adding minimal value beyond the schema. Users must infer their roles.

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 states it returns endpoint, payload, async behavior, and language example for one or more models, specifying the tool's output. However, it does not explicitly differentiate from siblings like 'get_model' or 'list_models', though it implies a different focus on usage details.

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?

No guidance on when to use this tool versus alternatives like 'get_model' (which returns model metadata) or 'search_models'. The description lacks context on typical use cases or exclusions.

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