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

Annotations already cover read-only, idempotent and closed-world behavior, so the description's main contribution is data-interpretation semantics: that count means cited OR named for listed competitors, and that results are bucketed by kind. That is genuinely useful, but with no output schema there is still no disclosure of ordering, limits, or the other fields returned, so the return-behavior picture is only partly filled in.

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?

Purpose is front-loaded in the first clause, and the rest is dense, high-value caveats with almost no filler. The phrasing instruction ('say named or cited, not cited') is a little unusual and costs a sentence, but it guards against a real misreading of the data.

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?

For a one-parameter, read-only report tool with no output schema, the description covers purpose, metric interpretation, and where to get the complementary per-answer detail. The only meaningful gap is the shape of the returned records beyond count and classification, which an agent would have to discover at call time.

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% and the single siteId parameter's dual behavior (optional on a connected app, required with an API key, must match select_site) is fully spelled out in the schema. The description adds nothing beyond it, so the baseline of 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?

Names a specific resource (domains AI answers cite or name for this site's prompts), frames the value ('off-site targets worth earning presence on'), and states how the data is organized (classified by kind). It also separates itself from get_citations by pointing out that per-answer hosts live in otherCitedDomains there.

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?

Implied but clear routing: use this tool for the aggregated domain-level view of who is cited, use get_citations for the hosts each individual answer actually cited. There is no explicit 'do not use when' statement and no mention of prerequisites such as connected app vs API key, but the alternative is named with the condition that selects it.

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