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

With no annotations, the description carries the behavioral disclosure burden. It implies a read-only retrieval by saying 'Return', and 'Free' adds a useful cost/access signal, but it does not mention authentication, rate limits, or explicitly state that no action is performed. This is thin but acceptable for a trivial zero-parameter getter.

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?

One efficient sentence front-loads the core purpose, adds useful structural detail in parentheses, and includes a short cost signal ('Free'). No words are wasted.

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 output schema covers the return shape, and the description provides enough context for a zero-parameter call: what the checklist is, how many items it contains, and that it is free. Nothing needed to invoke correctly is missing.

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 tool has zero parameters and full schema coverage, so the description has no parameter-semantics burden. The description appropriately adds nothing about parameters, and the baseline of 4 applies.

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 verb ('Return'), the specific resource (the full 30-point AI visibility checklist), and its structure (5 categories × 6 checks). It does not explicitly differentiate itself from the sibling audit_ai_visibility, leaving some distinction to inference.

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 or alternative routing is provided. The word 'Free' hints at access/cost but does not tell an agent when to prefer this tool over audit_ai_visibility, check_license, or get_fix_priority.

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