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

No annotations, so the description carries the full burden and does so: 1 MB input cap, invalid JSON raises with line and column and is not charged, pay-per-call via x402 (USDC on Base) with no account or API key, and the exact output modes. Error, limit, and cost behavior are all disclosed.

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?

Four dense sentences, each earning its place: purpose first, then parameter semantics, then limits/errors, then the payment model. Zero filler.

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?

No output schema exists, and the description still explains the return value (pretty-printed or minified JSON), plus size limit, failure mode, and billing. Nothing an agent needs to call this correctly 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 0%, so the description must supply parameter meaning, and it does: pretty=true means two-space indentation and false minifies; sort_keys sorts object keys alphabetically while leaving array order alone. The required text parameter itself is only implicitly described as the raw JSON input, a minor gap.

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: validate raw JSON and return it pretty-printed or minified. An agent knows exactly what this does and what the two output modes are without opening the schema.

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?

Clear operational context (input cap, default pretty=true, default sort_keys=false, payment model), so the agent knows how to invoke it. No explicit when-not-to-use guidance, but this is a single-purpose utility with no overlapping sibling to route away from.

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