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

Annotations already indicate it is not read-only (readOnlyHint false), not destructive, and openWorld true. The description adds value by clarifying the draft nature, cost (8 MESH/call), and explicitly stating it is not a real audit or compliance proof. These are behavioral constraints beyond the annotations, though it does not mention output format or side effects beyond drafting.

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 well-structured: first sentence states the purpose and output components, second clarifies limitations, third adds cost. It is front-loaded with the most important information and avoids redundancy, though it could be slightly shorter.

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 is complex (generates a draft audit) with only one vague parameter and no output schema. The description gives hints about the input content (engagement summary, risk areas, etc.) but does not specify the format or how to pass the scope. It also does not describe the output structure or how results are returned, leaving an agent uncertain about invocation details.

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 only parameter 'input' is described generically with examples for other tools (agent-brain, agent-memory) but not for this audit tool. The description says 'from the scope you provide' but does not specify the exact structure or fields expected. Schema coverage is 100% because the parameter has a description, but that description is not tool-specific, so it fails to add meaningful semantics for this tool.

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 tool drafts a preliminary third-party-style AI audit and lists the components it produces (engagement summary, risk areas, framework mapping, evidence needs). It distinguishes itself from a real audit by explicitly stating it is not a completed audit or evidence review, though it does not reference any sibling tool by name.

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 specifies when it is useful ('prep and gap review') and what it is not for ('not proof of compliance', 'not a completed evidence review'). This provides clear context, but it does not name alternative tools or explicitly say 'use this instead of X', which is a minor gap.

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