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

With no annotations, the description fully carries the burden of behavioral disclosure. It details determinism, keylessness, no LLM involvement, use of x402/USDC on Base mainnet, cost, and the exact output (pass/fail, per-field errors, signed provenance receipt binding verdict to response bytes and schema). No contradictions.

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 concise and well-structured: it starts with the core purpose, then elaborates on input format, behavior, and output. Every sentence adds necessary information without repetition.

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 (3 parameters, no output schema), the description thoroughly covers all aspects: input parameters with their variations, deterministic behavior, output details (pass/fail, errors, provenance), and cost. No gaps.

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%, and the description adds significant value beyond the schema. It explains the three accepted forms for the schema parameter (compact URL-native, JSON-Schema string, shorthand-map) and clarifies the optional pointer parameter for sub-document validation.

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 explicitly states the tool validates a JSON/API endpoint against a JSON Schema, returning deterministic pass/fail with per-field errors and a signed provenance receipt. It clearly distinguishes from sibling tools which focus on different operations like fetching, diffing, or extracting data.

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 provides clear context for when to use this tool (deterministic, keyless validation without LLM) and mentions cost ($0.005/call). It does not explicitly state when not to use or compare with alternatives, but the differences from sibling tools are evident.

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