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

Annotations already establish readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds value beyond them: it discloses the return shape (a 0-100 score plus gaps framed as what/why/how/action with the exact fixing tool call) and the intended workflow (read-only; apply fixes with the named tools after confirming with the user). That workflow and output detail is real added context.

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?

Front-loaded with the tool's essence, then dimensions, then triggers, then read-only workflow. Three well-formed sentences that each carry information. The 'EXPERT SETUP REVIEW' lead-in is slightly promotional, but it does not waste much space.

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?

No output schema exists, and the description compensates by describing the return (0-100 score, gap list with what/why/how/action), the read-only constraint, and the follow-up path. For a single optional-parameter audit tool, nothing an agent needs to call it correctly is 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?

Only one parameter (setupId) with 100% schema coverage, and the schema already documents the key behavior ('Omit to audit the active setup'). The description adds nothing about the parameter, so the schema carries the full load, which matches the baseline-3 rule for high coverage.

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 ('grades'/'expert setup review') and resource (the AI setup), and enumerates the concrete dimensions graded: business-context completeness, ICP precision, goal wiring, message/sequence assets, and the LinkedIn sender. It is clearly distinct from campaign-oriented audit siblings, but it never names or contrasts with the closest siblings (full_audit, diagnose_campaign, get_account_health), leaving that differentiation to inference.

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?

Gives explicit triggers: 'when the user asks to review/improve their setup, when results are weak, or before going live.' That is clear context for invocation. However, it offers no when-not guidance or named alternative (e.g., full_audit vs. this), so the agent must still guess which audit tool to reach for.

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