validate_prp

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It doesn't mention whether this is a read-only operation, what the output looks like, whether it modifies anything, or what happens on validation failure. This is a significant transparency gap for a tool that likely returns a validation report.

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, efficient sentence with no fluff. It could be slightly longer to add behavioral context, but as far as conciseness, every word earns its place. Four is appropriate because it is effective yet minimal.

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 no output schema, no annotations, and a terse description. It doesn't explain what validation entails, what the return value looks like, or how to interpret results. For a validation tool that likely produces a structured report, this is under-specified. The sibling tools don't provide enough contextual clues to compensate.

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 100%, with both parameters clearly described in the schema. The description adds no parameter-level detail, but that's acceptable given the schema fully documents the inputs. Baseline 3 applies.

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 the action (validate) and the resource (PRP) against a specific criterion (context engineering best practices). It's specific enough, though 'PRP' is an acronym that isn't expanded for a new user. It doesn't need to distinguish from siblings since no other validate tool exists.

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 no guidance on when to use this tool versus alternatives like analyze_context or generate_prp. It doesn't state prerequisites, expected input format, or what to do with validation results. A user must infer usage from the name alone.

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