model

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 discloses the exact scanning approach and verification criteria, which implies read-only behavior and gives a clear expectation of what is returned. It does not explicitly state that no changes are made, but 'List' and the scanning language strongly imply a non-mutating operation.

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, focused sentence that front-loads the action ('List') and provides sufficient detail without redundancy. Every word contributes meaning, earning a top score.

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 zero-parameter, no-output-schema tool, the description is remarkably complete: it names the target directory, the verification step, and the intended result. It does not describe return format, but that is not strictly necessary for a simple listing operation. It could go slightly further by clarifying recursive scanning or edge cases, but is not deficient.

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 tool has zero parameters, and the schema coverage is 100% (vacuously). Per the rubric, a baseline of 4 is appropriate for no parameters, and the description adds no parameter-specific details because none exist.

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 a specific verb ('List'), the resource ('Eloquent models in the Laravel application'), and the method ('scanning app/Models and verifying they extend Model'). This distinguishes it from sibling tools like makeModel or envInfo, which have different purposes.

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 provides clear context: it is for enumerating Eloquent models via a specific scan. It does not explicitly state when not to use it or list alternatives, but for a simple read-only listing tool the purpose is self-evident and unlikely to be confused with other tools.

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