Get AI model

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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the bracketed "[READ]" merely repeats that safety profile. No additional behavior is disclosed: no auth requirements, rate limits, error semantics, or meaning of the returned model.

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 single line is maximally brief and front-loaded, with no wasted words, but that brevity stems from under-specification rather than disciplined editing.

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 no output schema and a bare one-line description, an agent gets no picture of what an AI model object contains or what a successful call returns. Deferring entirely to the external "OpenAPI" spec leaves the definition inadequate.

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 0%, so the schema alone leaves model_id undocumented. The path template /models/{model_id} does tie the parameter to the resource identifier, adding marginal meaning, but no format or sourcing guidance is given.

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 is essentially a restatement of the name and title ("Get AI model") plus the raw HTTP verb and path. It conveys retrieval of a model by ID only implicitly, and does not distinguish this tool from the sibling list_ai_models.

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 when-to-use or when-not-to-use guidance and no mention of the alternative list_ai_models. The only hint is the GET verb, which an agent must infer means read-one rather than read-many.

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