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

Annotations already cover readOnly/destructive/openWorld, so the description's real contribution is the rate limit (100 requests/minute per API key), zero cost, and the notable provenance detail that it reads data the organisation already produced — implying no live re-crawl and possible staleness. It stops short of saying how fresh the 'latest audit' is or how counts are truncated.

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: the first front-loads the payload contents, the second wraps cost and rate limit. No filler, and every clause carries information an agent can act on.

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 read-only single-parameter tool with no output schema, the description is nearly sufficient — it outlines returned fields, cost, and throttling. The remaining gap is data freshness and the domain input format.

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% for the single required 'domain' parameter, so baseline is 3. The description adds nothing beyond the schema — it does not clarify whether a bare domain, subdomain, or URL is accepted, which is the one ambiguity an agent could hit.

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 resource (one site's report) and enumerates exactly what it returns: latest audit score, issue counts by severity, most frequent issue types, social-network presence. That enumeration separates it from list_sites (inventory), find_issues (issue search) and generate_report (artifact creation) without naming them.

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?

The description implies the usage context — a per-site deep dive — and adds cost/rate context, but never says when to pick this over find_issues, check_google_visibility, or generate_report, and offers no exclusions. Usage is inferred rather than guided.

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