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

Annotations cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true), and the description adds substantial behavioral context beyond them: output format (grade A–F with findings by severity), the billing model ($0.015 USDC via x402, payable on Base/Solana/Polygon/Arbitrum, auto-paid by x402 MCP clients), and the non-charge guarantee when the page fails to load. This is exactly the kind of cost and outcome disclosure an agent needs before invoking.

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?

Front-loaded with purpose and densely packed with useful content; nearly every clause earns its place. It is long and somewhat run-on, with pricing/payment detail that could be tightened, which keeps it below a 5.

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?

With no output schema, the description correctly explains the return shape (grade A–F, severity-ranked findings) and covers scope, jurisdictional coverage, billing, and failure behavior. Nothing an agent needs to call or interpret the result is missing.

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% and there is only one parameter, so the schema carries the semantics (baseline 3). The description adds value with a concrete example input ({"url":"https://www.wikimedia.de"}), which helps an agent format the call correctly, lifting it to a 4.

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 precise verb+resource ('GDPR and imprint check of a website') and enumerates exactly what is inspected: pre-consent third parties, cookies, consent banner and reject button, Imprint fields per §5 DDG/AT/CH, and privacy-policy cross-checking. It is trivially distinguishable from adjacent siblings like domain_compliance, site_audit, and accessibility_check.

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?

Gives clear audience context ('For agencies, compliance teams and lead qualification') and a boundary ('Not legal advice'), which frames when the tool is appropriate. It stops short of naming alternatives (e.g. domain_compliance vs site_audit) or stating when-not to use it, so it earns a 4 rather than 5.

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