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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds real behavioral value beyond that: it enumerates the pass/fail checks performed, the output shape (0-100 score, letter grade, prioritized fix list), and the notable scoring policy that blocking bulk training crawlers does not lower the score.

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 that opens with the core purpose before listing checks and outputs. Dense but every clause carries information; the parenthetical check list is long yet earns its place by defining the score's meaning.

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?

No output schema exists, so the description correctly compensates by describing the return contents (score, grade, checks, fix list) and the scoring caveat. Combined with annotations covering the safety profile, an agent has nearly everything needed; only alternative-tool routing is absent.

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?

With a single parameter at 100% schema description coverage, the schema already documents the URL and even supplies examples. The description adds no further format or constraint detail, so the baseline 3 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 states a specific verb and resource — scoring how well AI assistants can find, read and cite a public web page — and enumerates the concrete checks and outputs, which implicitly distinguishes it from the narrower siblings check_ai_crawler_access and generate_ai_robots_txt.

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?

Usage is implied (audit a page for AI visibility), but there is no explicit when-to-use guidance, no exclusions, and no routing to alternatives such as check_ai_crawler_access for a robots.txt-only check. Adequate but leaves the agent to infer the decision boundary.

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