vehicle.models

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

No annotations are provided, so the description carries the full burden. It only states a read-like operation ('list'), but does not disclose any potential behavioral traits such as rate limits, authentication needs, or return format. Minimal transparency.

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 with 10 words, front-loading the core action ('List all models'). Every word is necessary with no redundancy.

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?

There is no output schema, and the description does not explain return values, pagination, or data structure. It only says 'list all models', which is too vague for an agent to understand the full output. Incomplete for a tool with missing schema details.

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 description must add meaning. It explains 'make' and 'modelYear' in context ('offered by a make in a given model year') but does not specify format, constraints, or valid values. Insufficient compensation for missing schema descriptions.

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 the verb 'list', the resource 'models', and the constraints 'offered by a make in a given model year'. It distinguishes from siblings like vehicle.profile or vehicle.manufacturers by specifying the exact action on 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?

The description implies usage for retrieving models by make and year, but does not explicitly state when to use this over other vehicle tools like vehicle.vin-decode or vehicle.recalls. No exclusions or alternatives are mentioned.

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