list_vehicle_models

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

The description does not disclose key behaviors such as that it returns a paginated list, what happens on no match, or that brand is auto-resolved. With no annotations available, the description carries the full burden and falls short.

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 only one sentence, which is concise but omits crucial details (e.g., that it returns a list). While brevity is good, the sentence does not earn its place with vital information.

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 four parameters and an output schema available, the description should explain the overall operation more thoroughly. It lacks context about the paginated list nature and what a 'canonical record' entails, leaving significant gaps for the agent.

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?

The input schema already provides clear descriptions for all four parameters (name, brand, page, page_size), covering 100% of parameters. The description adds minimal extra value beyond restating 'within a brand', so the baseline score is appropriate.

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 says 'Resolve a vehicle model name to canonical record', but the tool name is 'list_vehicle_models', suggesting it returns multiple results. This inconsistency creates confusion about the tool's exact purpose.

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 is provided on when to use this tool versus sibling tools like search_certificates or list_brands. There is no mention of typical use cases, prerequisites, or alternatives.

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