Ai Analyze Content Quality

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

No annotations are provided, so the description carries the full burden. It hints at an external AI call ('using AI'), implying possible latency or cost, but never states whether the operation is read-only, what it returns, whether it requires credentials, or any rate limits.

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?

A single front-loaded sentence with zero filler. It is efficient, though its brevity reflects under-specification rather than disciplined concision.

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?

An output schema exists, so return values need not be explained, but with no annotations, 0% parameter documentation, and an undefined notion of 'quality', the description is too thin for an agent to invoke this tool confidently or distinguish it from its sibling.

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 0% and the single parameter 'content' is undocumented in both schema and description. The description does not clarify whether 'content' is raw HTML, plain text, a node ID, or a rendered body, leaving a real ambiguity unresolved.

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 clear verb+resource ('Analyze content quality'), so the general operation is identifiable. However, it gives no differentiation from the near-identical sibling 'analyze_content_quality', and 'quality' itself is left undefined (SEO? readability? grammar?), so the agent cannot tell exactly what is being assessed.

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?

No when-to-use guidance, no prerequisites, and no mention of the sibling 'analyze_content_quality' which appears to do the same thing. The agent is left to guess which of the two quality tools to call.

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