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

Annotations already declare mutation (readOnlyHint=false) and non-destructive (destructiveHint=false), so the description adds valuable extra context beyond the structured metadata: the requirement to confirm with the user before calling and that template mutations are immediate. This disclosure of human-in-the-loop and timing behavior is exactly the kind of behavioral context annotations alone do not provide.

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?

Two sentences, zero filler, with the critical usage constraint front-loaded. The first sentence states the action compactly and the second explains why confirmation is non-negotiable. Every sentence earns its place.

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?

Given only 2 required parameters and no nested objects, plus annotations covering safety, the description is complete. The agent knows what action to take, what input to use, and the confirm-before-calling requirement, leaving no critical decision-influencing information missing.

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 coverage is 100% and the schema documents both parameters: recommendation_id and action with its accept/reject/revert enum. The description adds little parameter-specific meaning beyond what the schema provides; the only extra cross-reference ('Recommendation ID from get_recommendations') is in the schema, so the description rides the schema baseline of 3.

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 uses a specific verb ('Accept, reject, revert') with a clear resource ('training recommendation'), making the tool's action unmistakable. The three enumerated actions differentiate it from siblings like get_recommendations, which merely fetches recommendations rather than acting on them.

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 a clear precondition and timing constraint: 'Always confirm with the user before calling' – essential context for an AI agent deciding when to call. It lacks explicit exclusions or naming of alternatives, but the parameter description 'Recommendation ID from get_recommendations' implies the upstream fetch step, and the mutation warning suggests caution versus read-only siblings.

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