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

Annotations already establish the safe, read-only, idempotent, closed-world profile, so the description is free to add the useful behavior: the output is a per-dimension ready/at-risk/missing verdict plus blockers and a launch-day watch list, and it 'returns instructions to follow with the user's text.' That last clause tells the agent this yields guidance to act on rather than a stored artifact — context not available from the annotations.

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, front-loaded with the verdict and the dimensions assessed, with the return behavior held to the end. The long enumeration of lifecycle areas is dense but each item earns its place by telling the agent what the review covers.

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?

With an output schema present, the description need not spell out the return shape, yet it still summarizes it usefully. Combined with the one-parameter schema, the agent has everything needed to invoke it; only the relative positioning against sibling review/plan tools is absent.

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?

There is a single parameter with 100% schema description coverage, so the schema already fully documents 'plan' (feature, what was tested, launch plan). The description adds nothing parameter-specific beyond implying the input is a launch plan; baseline 3 is correct.

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?

States a specific verb and resource — a 'go/no-go review' of an AI feature's launch plan — and enumerates the exact dimensions checked (evals, grounding, attacks, cost, latency, etc.), so the agent can tell it apart from plan_ai_launch. It stops short of explicitly distinguishing itself from the other review_* siblings (review_ai_spec, review_ai_incident).

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?

Usage is implied by the framing: you run it on a launch plan to decide go or no-go. There is no explicit statement of when not to use it, no prerequisites, and no named alternative such as plan_ai_launch for the authoring step.

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