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

With no annotations, the description must carry the behavioral burden; it does disclose the exact return payload (nine named artifacts derived from probe facts) and points to an external rubric. However, it never explains the x402 payment flow implied by the payment_signature parameter, whether anything is written to the domain, or whether calls are metered — significant omissions for a generation tool.

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?

A single sentence, front-loaded with the verb and the payload, with no filler; offloading the detailed rules to a rubric URL is efficient. The nine-item artifact list is long but each entry is informative rather than redundant.

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?

Naming the returned artifacts compensates for the absent output schema, which is a real strength. But with no annotations and a payment-related parameter, the definition leaves an agent without guidance on cost, side effects, or failure modes, which is thin for a generation tool.

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 both parameters are already documented in the schema and the baseline is 3. The description adds no meaning about domain formatting or when a payment_signature is required versus optional.

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 verb ('Re-probes') and resource ('a domain') and enumerates the nine artifacts returned, so the output is unambiguous. It never names or contrasts with siblings such as agent_readiness, so an agent must infer that this is the remediation/follow-up variant rather than the initial audit.

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 explicit when-to-use, when-not-to-use, or alternative named. The prefix 'Re-' weakly implies this runs after an initial probe or after fixes are applied, but nothing states prerequisites or which sibling to call first.

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