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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety bar is low. The description still adds real behavior the annotations cannot: no new scan of a third-party site is performed, only published research data is used, and the partner code is embedded in the link under channel "report". What is missing is any note on failure modes for an unknown or unscanned domain.

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 core capability is front-loaded, which is good, but the first sentence is overloaded with marketing copy (free check, audit from $50, code fixes from $99) that describes the landing page rather than the tool's behavior. That pricing detail is relevant only indirectly and crowds out more useful invocation guidance.

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 tool with no output schema, the description covers what comes back (the link plus the findings to quote) and the data provenance constraint. It is nearly complete; only the edge case of a domain with no existing research is unaddressed.

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% — the single `site` parameter is already documented as a domain with an example. The description adds no extra meaning about the parameter (no normalization rules, no requirement that the domain already be in the research corpus), so the baseline 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 concrete artifact (a ready link to a report page) and what it contains (AIfa research findings from a keyboard test and axe-core rule check), plus what it returns. It does not, however, distinguish this from the sibling tool `client_link` or say how it relates to `find_clients`, so an agent must guess which link-producing tool is correct.

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?

Usage is only implied: you would call this when you want to hand a site owner a quotable report. There is no explicit statement of when to prefer it over `client_link` or `find_clients`, and no prerequisites mentioned. The partner-code/channel detail hints at context but does not define selection criteria.

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