get_model_info

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

There are no annotations, so the description carries the burden of conveying behavior. 'Get' and 'detailed information' clearly indicate a read-only lookup, but the description does not disclose what specific details are returned or how errors for invalid model_id values are handled.

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, front-loaded sentence with no filler. It communicates the operation and the object of the operation efficiently.

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?

For a one-parameter tool, the core call contract is clear. Still, with no output schema and no richer description, the agent cannot know what 'detailed information' includes or how errors/unknown model IDs are handled, so 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?

Schema coverage is 100%: model_id is already documented as 'Model ID'. The description adds only that the model is 'specific', so it provides minimal extra semantic value beyond the schema, placing it at baseline.

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 states a clear verb and resource: it retrieves detailed information for one model. 'Specific model' hints at a contrast with the sibling list_models, but it does not explicitly name that alternative.

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 phrasing 'specific model' and the required model_id imply this is the tool to call when the agent already has a model identifier, rather than when listing available models. However, it never explicitly says when to use this tool over list_models or any other sibling.

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