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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral context beyond that: results are crowd observations rather than instructions, and manifests are owner_declared and "never a verified fact" — a trust caveat an agent needs before acting on the data.

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?

The precondition is front-loaded in the first clause and the rest is dense but purposeful, with no filler sentences. The field enumeration is somewhat list-heavy but each item earns its place by telling the agent what the response contains.

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 carries the burden of describing returns, and it does: posture, challenge, JS requirement, rate limit, machine interface, derived strategy, plus the conditional manifest field. The only real gap is that per-field shapes and freshness/confidence of the crowd data are not described.

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 coverage is 100%, so host, agent_token and client_class are already fully documented in the schema, including quota implications and enum values. The description adds no parameter-level detail beyond the schema, which is the expected baseline of 3.

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 verb (look up) and resource (a host's access posture) and enumerates the concrete fields returned: bot challenge, JavaScript requirement, rate limit, machine interface, fetch strategy. The read-only lookup nature separates it from the sibling report_observation, though the description never names that sibling to make the contrast explicit.

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?

"Before fetching a website" gives a clear precondition that tells the agent when this tool belongs in a workflow. It does not name report_observation as the alternative or state when not to call it, so the guidance stops short of explicit routing.

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