project_validate

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

With no annotations, the description carries the full burden of behavioral disclosure. It does add one useful behavioral caveat (no live plugin compatibility), but omits critical details such as side effects, failure behavior (e.g., what happens if dependencies are missing), or whether it is read-only. This is partial but not comprehensive.

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 concise (two sentences) and front-loads the core purpose before the caveat. Every sentence earns its place, but the structure could be improved by explicitly naming the parameter or providing a clearer action verb. Still, it is efficient and avoids 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?

For a validation tool with one parameter and no output schema, the description is incomplete. It does not state success/failure conditions, error behavior, or whether the operation is read-only. It also lacks guidance on interpreting 'frozen playback.' While it provides the core purpose, an agent may need additional context to call it correctly and handle results.

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 schema provides only a pattern for project_id with no description, and the tool description does not explain what project_id refers to or how to format it. Since schema_description_coverage is 0%, the description should compensate, but it adds nothing about the parameter, leaving the agent to infer its meaning.

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 states a clear verb ('check') and resource ('assets and plugin dependencies'), and mentions a specific outcome ('return frozen playback when available'). It distinguishes itself from sibling plugin_verify by focusing on project-level validation rather than plugin-specific checks, so an agent can infer the scope.

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 explicit guidance on when to use this tool versus alternatives like plugin_verify or asset_relink. The caveat 'Does not claim live plugin compatibility' implies a limitation but does not say when to prefer this tool over others. An agent must infer usage context from the purpose alone.

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