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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. With no output schema, the description usefully carries the burden of describing return content — breaking out crawler reads vs live fetches vs human visits, purchases/revenue, and robots.txt access — which tells the agent what the result set contains.

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?

It is a single front-loaded sentence with a dense but purposeful enumeration, and no filler. It is slightly list-heavy, but every element corresponds to a real returned dimension rather than padding.

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?

With no output schema, the description does the necessary work of summarizing the returned metrics and dimensions, and the schema fully documents the inputs. The one gap is the unresolved relationship to the get_bots_and_ai sibling, which an agent choosing between the two would still have to infer.

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 all seven parameters (dates, period, filters, timezone, segment_id, site_id) are documented in the schema itself. The description adds no parameter-level meaning beyond what the schema provides, 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?

The description names a specific subject — how a site appears in AI assistants — and enumerates the metrics it returns (crawler reads, live fetches, human visits, revenue, robots.txt), so the resource is unambiguous. However, it never distinguishes itself from the sibling get_bots_and_ai, which appears to cover adjacent territory, leaving overlap unresolved.

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?

There is no when-to-use or when-not guidance, and no alternatives are named. The closest sibling, get_bots_and_ai, is not referenced at all, so an agent cannot tell which tool to pick when both seem relevant. Usage is only implied by the topic.

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