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

Annotations declare readOnlyHint=false, destructiveHint=false, openWorldHint=true, and the description adds the crucial behavior that this call does not spend funds but returns a PAYMENT-REQUIRED challenge plus the canonical paid endpoint. That resolves the apparent tension of a 'paid' tool that is safe to call, and is genuinely beyond structured data. It stops short of stating auth requirements, rate limits, or what happens on the paid follow-up call.

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?

Three sentences, front-loaded with the price and payment rail, then what it scores, then the safety clarification. Every sentence carries information, though the payment sentence is dense enough that the core purpose arrives second.

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?

An output schema exists, so return-value detail is unnecessary, and the description covers the non-obvious pricing/payment semantics an agent must know before calling. The remaining gap is the absence of any when-to-use routing against the many audit siblings.

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?

Only one parameter exists, and schema description coverage is 100% ('MCP tool definitions to audit'), so the schema already carries the parameter meaning. The description restates the audit target but adds no format, size, or shape guidance for the tools array beyond the schema. 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?

States a specific verb and resource ('Scores supplied MCP tool schemas') and names the dimensions measured (discoverability, descriptions, bounded input contracts). This clearly separates it from siblings like openapi.quality_audit and x402.compatibility_audit, which audit different artifacts.

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 explains the payment model and what a call actually returns, which implicitly tells the agent this is the discovery step before paid execution. However, it never states when to prefer this over sibling audits (openapi.quality_audit, x402.compatibility_audit) or what inputs qualify. Usage is implied rather than directed.

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