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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds that it scans a public website and produces scores, which implies network access and a read-only operation, consistent with annotations. However, it does not disclose any additional behavioral nuances like error handling, timeouts, or that output structure is defined by an output schema (which exists). It meets the baseline but adds little beyond the annotations.

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 description is a single, complete sentence that is easy to parse: 'Scan a public website and score review signals, proof depth, expert identity, differentiation, and local trust.' There is no filler or redundancy. It could be improved by breaking out usage context, but as a concise statement of purpose it is effective.

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?

Given the tool's moderate complexity and the large sibling set, the description is incomplete. It does not tell an agent when to prefer this tool over its many peers, nor does it mention whether the operation is synchronous or asynchronous, rate limits, or the meaning of the output (though an output schema exists). With multiple similar audit tools available, more contextual placement is necessary for correct selection and invocation.

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%, so all three parameters (websiteUrl, niche, city) are fully documented in the schema. The description does not add any extra meaning about these parameters beyond what the schema already states. It implicitly ties them to the scan (the website is scanned, niche and city are presumably used in scoring) but provides no formatting, constraints, or relationship details. Baseline 3 is appropriate.

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 clearly states the action (scan and score) and the resource (public website), and enumerates the scored dimensions: review signals, proof depth, expert identity, differentiation, and local trust. It is specific enough to distinguish from generic scanning tools, but it does not explicitly differentiate it from the many sibling run_* and scan_* tools, so it misses the top score.

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?

No guidance is given on when to use this tool versus alternatives. The sibling list includes many similar audit/scan tools (e.g., run_ai_business_os_diagnostic, scan_ai_visibility, run_review_velocity_benchmark), and the description provides no conditions, exclusions, or comparative notes to help an agent choose this one. This is a clear gap.

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