spec_for_modellab

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It hints at the spec contents (variants and wear zones) but does not state whether the operation is read-only, what permissions are needed, what errors may occur, or what side effects exist.

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 compact sentence, so it is not verbose. However, it is front-loaded with a noun phrase and contains undefined domain terms such as 'slots' and 'marks,' making it concise but opaque rather than efficiently structured.

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?

The tool has three parameters, low schema coverage, no annotations, and no output schema, so the description needs to carry substantial context. It does not cover prerequisites, return behavior, parameter meanings, or how the tool relates to siblings like validate_spec or render_variants.

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 only 33%, with only the build parameter documented. The description does not explain the build, template, or variants parameters clearly; 'template's variants' and 'wear zones from its marks' are too cryptic to compensate for the undocumented parameters.

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 identifies the resource as a coating spec for a Model Lab build, but it is a noun phrase rather than a clear action verb, so it does not say whether the tool generates, retrieves, or computes the spec. It also does not distinguish the tool from siblings such as validate_spec or describe_model.

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 explicit guidance on when to use this tool, when not to use it, or which sibling tool is the alternative. The only implied context is that it relates to a Model Lab build, leaving the agent to infer the workflow.

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