audit_content

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It fails to mention whether the tool is read-only, what the output format is, or any side effects. While 'audit' suggests non-mutating, not stating this and lacking return value details leaves significant gaps.

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, well-structured sentence that front-loads the purpose and lists specific audit criteria. Every word adds value, with no redundancy or filler.

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 has one parameter and no output schema, so the description should at least hint at the result format or what the agent can expect as a deliverable. It does not mention the return value, any limitations, or follow-up actions. Given the absence of annotations, this is a notable gap.

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% with the page_text parameter well-described in the schema itself. The description adds context about what the audit examines but does not clarify the parameter's format or constraints beyond the schema. Meets the baseline expectation.

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 audits content quality, enumerating specific dimensions (headlines, structure, copywriting principles, scannability, value proposition clarity). This distinguishes it from sibling audit tools like audit_conversion and audit_visual, which focus on other aspects.

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 implies usage when a content quality assessment is needed, but does not explicitly state when to use this tool over alternatives or provide exclusions. Given sibling tools like audit_conversion and audit_visual, explicit guidance on selection criteria would improve clarity.

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