List Detailer 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 mentions it's a GET request, which implies read-only and safe behavior, but it doesn't explicitly state that it has no side effects or that it returns a simple list. For a basic listing operation, the endpoint hint is somewhat informative, but more explicit behavioral disclosure (e.g., 'read-only', 'returns a list of model names') would improve it.

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, well-structured sentence that immediately states the purpose and the endpoint. No redundant wording or fluff. It is front-loaded and concise.

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 simple tool with no parameters and no output schema, the description is adequate. It tells the agent what the tool does and the endpoint. It could have mentioned the return format (e.g., 'returns a list of model names'), but given the simplicity and the fact that similar list tools likely follow the same pattern, the description is sufficiently complete.

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?

There are zero parameters and the schema coverage is 100% (no properties). According to the rubric, 0 params gets a baseline of 4. The description doesn't need to add parameter details, and it doesn't, which 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?

Clearly states it lists available YOLO detailer models and provides the endpoint. The verb 'List' with resource 'detailer models' is specific and distinguishes it from sibling list tools like list_face_restorers or list_controlnets.

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 gives the purpose but does not explicitly state when to use this tool versus alternatives. It doesn't mention prerequisites or context like 'use before running detail operations'. Given the many sibling list tools, it could have provided a quick differentiator, but it's adequate for a simple listing tool.

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