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

Annotations are all false and uninformative, so the description carries the burden and fills it well: it discloses that the tool consumes one monthly content analysis and that the result must be fetched later via get_prompt_gap_brief, implying an asynchronous or job-based analysis action. This goes beyond what the annotations or schema convey, and it does not contradict them.

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 compact and front-loaded: the first sentence states the purpose, the second covers the optional comparison, and the third gives quota impact and the retrieval step. Every sentence earns its place with no repetition 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?

Given that the schema is fully documented and an output schema exists, the description covers the essential call-time knowledge: what the tool does, when to use it, the optional parameter, the quota cost, and how to fetch the eventual result. This is complete enough for an agent to select and invoke the tool correctly.

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%, so parameters are already well documented with source references like get_ai_visibility, add_ai_prompt, and list_projects. The description adds only mild extra context for the optional own_url comparison, which is useful but not a substantial improvement over the schema.

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 opens with a specific verb and resource: 'Run a gap analysis on an AI prompt the site is absent from.' It explains what the tool actually does by reading cited pages and briefing how to become the cited answer, and it clearly points to get_prompt_gap_brief for the result, distinguishing it from related siblings like get_ai_visibility and add_ai_prompt.

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 gives a clear trigger condition — the site is absent from the AI prompt — and describes the optional comparison mode against an own page. It also mentions the quota cost ('Uses 1 monthly content analysis') and the follow-up tool, providing enough context to use it appropriately, though it does not explicitly name exclusions or alternative tools.

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