generate_audit_reports

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

Annotations provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false, indicating a safe, repeatable operation. The description adds value by specifying 'comprehensive audit reports' and 'evidence documentation and findings,' which suggests detailed output generation. However, it doesn't disclose behavioral traits like rate limits, authentication needs, or what 'generate' entails (e.g., file creation, data processing). No contradiction with annotations exists.

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 that front-loads the core purpose without unnecessary details. It avoids redundancy and waste, though it could be slightly more structured (e.g., separating scope from output features).

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 the tool's complexity (8 parameters, nested objects) and rich schema annotations, the description is minimally adequate. It lacks output details (no output schema provided) and doesn't explain the report generation process or behavioral context. However, annotations cover safety aspects, and the schema documents parameters thoroughly, keeping it from being incomplete.

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 all parameters well-documented in the schema itself. The description mentions 'compliance frameworks' and 'evidence documentation,' which loosely align with the 'framework' and 'includeEvidence' parameters but don't add meaningful semantics beyond what the schema provides. Baseline 3 is appropriate given high schema 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?

The description clearly states the tool's purpose: 'Generate comprehensive audit reports for compliance frameworks with evidence documentation and findings.' It specifies the verb ('generate'), resource ('audit reports'), and scope ('compliance frameworks'), but doesn't explicitly differentiate from sibling tools like 'generate_professional_report' or 'manage_compliance_assessments' that might overlap in domain.

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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context, or exclusions, nor does it reference any sibling tools. The agent must infer usage solely from the tool name and parameters.

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