ScorpTech x402 API

Schema Validate

schema_validate

Read-onlyIdempotent

Validate JSON data against a JSON Schema (Ajv + formats). Body: { "schema": {...}, "data": {...} }. Returns valid boolean and error list. Price: $0.005 USDC per successful call (x402, Solana). Same tool over HTTPS: POST https://scorptech.it.com/api/x402/v1/schema-validate

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "schema": "<schema>",
      "data": "<data>"
    },
    "name": "schema_validate"
  }
}

Input Schema

Name	Required	Description	Default
`data`	Yes
`schema`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 23, 2026

TDQS

A3.9/5.0

Behavior4/5

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

Annotations cover the safety profile (readOnly/idempotent/non-destructive), and the description adds context annotations can't express: it is a paid endpoint at $0.005 USDC per successful call via x402 on Solana, with a parallel HTTPS endpoint. That payment and transport detail is materially useful before invoking. It stops short of explaining charged-on-failure behavior or payment flow.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded purpose sentence, then body shape, return values, price and alternate endpoint in tight order. The embedded JSON literal in mid-sentence is slightly disruptive but overall there is little waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

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 volunteers the return shape (valid boolean + error list), plus pricing and a transport fallback. For a two-parameter validator that is nearly everything an agent needs; only failure-charging and schema-draft specifics are missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and both parameters are required, so the description must carry the load. It says body is { "schema": {...}, "data": {...} } and names Ajv + formats, which clarifies that 'schema' is a JSON Schema document and 'data' is the instance to check. It adds no detail on which JSON Schema draft or formats are supported, or what the error list entries look like.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: validate JSON data against a JSON Schema, and names the engine (Ajv + formats). This cleanly separates it from near-siblings like json_repair, format_convert and regex_test, which transform or test rather than validate against a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the name and the input shape, but there is no explicit when-to-use vs. alternatives guidance (e.g. json_repair for malformed JSON, regex_test for pattern-only checks). The only alternative offered is a transport alternative (same tool over HTTPS), not a task alternative.

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

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