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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds the multi-resource fetch behavior, but that same detail is already echoed in the `url` schema description, so the incremental value is small; no mention of rate limits or whether non-public pages fail.

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?

Two sentences, zero filler, and the core action is front-loaded before the usage hint. Nothing could be cut without losing information.

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-value explanation is not required, and annotations carry the safety profile. The description is nearly complete, only missing edge-case behavior (non-public URLs, redirects, or how the score is derived).

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?

One parameter with 100% schema description coverage, so the baseline is 3. The description adds no format, normalization, or error-handling detail beyond what the schema's `url` description already provides.

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 specific compound action (fetch page + robots.txt + sitemap + llms.txt, then score) and the exact purpose (AI search crawler readiness). This distinguishes it cleanly from the standalone sibling utilities check_robots_txt, validate_sitemap, and generate_llms_txt, which each do only one of those steps.

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?

"Use this when you have a live URL" gives one usage condition, but it largely restates the required `url` parameter rather than adding selection logic. No exclusions (e.g. local files, JS-rendered pages) and no pointer to the sibling tools an agent might otherwise pick.

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