get_model_pricing

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

No annotations are provided, so the description carries full burden. It states the tool fetches public pricing details, implying a read-only, idempotent operation. However, it does not disclose any additional behavioral traits such as caching, rate limits, or error handling.

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 concise sentence of 7 words, with no redundancy. While appropriately brief, it could include more useful details without becoming verbose.

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 (one parameter, no output schema), the description is minimally complete. It does not specify the output format or any prerequisites, but the core purpose is clear.

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% for the single parameter 'model', whose description ('Public TokenLab model ID.') is clear. The tool description adds context that pricing details are fetched for that model, but does not provide additional semantic information beyond the schema.

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 'Fetch public TokenLab pricing details for one model ID.' uses a specific verb ('fetch') and resource ('pricing details'), clearly indicating the tool's scope. It distinguishes from siblings like 'list_models' and 'compare_models' by specifying it is for a single model.

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 implies usage for fetching pricing of a single model ID but provides no explicit guidance on when to use this tool versus siblings like 'compare_models' or 'list_models'. No conditions or exclusions are mentioned.

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