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JSON Schema Generator

JSONSchemaGenerator
Read-only

JSON Schema Generator: JSON Schema Generator is a JSON to JSON Schema API: it inspects sample JSON payloads and generates Draft-07 JSON Schema definitions with inferred types and property formats. It identifies formats like emails and dates, applies custom titles, and lists all properties as required. (Cost: 2 credits)

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": {
      "json": "<json>"
    },
    "name": "JSONSchemaGenerator"
  }
}

Input Schema

NameRequiredDescriptionDefault
jsonYesThe sample JSON data to generate a schema from
titleNoThe title for the generated schema (default: 'Generated Schema')Generated Schema
descriptionNoOptional description for the schema

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Adds meaningful behavior beyond annotations: Draft-07 output, inferred types and formats (emails, dates), custom titles, and all properties marked required. The 2-credit cost is also disclosed. Missing are edge-case limitations or nested-object handling.

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?

Generally front-loaded and efficient, but the opening redundantly repeats 'JSON Schema Generator' before the useful definition. The rest of the text is dense and earns its place.

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?

Output schema covers return values, and the description explains generation behavior sufficiently for a read-only transformation tool. The main gap is absence of guidance distinguishing this from JSONSchemaValidator, but the core call semantics are complete.

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 coverage is 100%, so the input schema fully documents the json, title, and description parameters. The description only restates that custom titles are applied; it adds no syntax or constraint details beyond the schema.

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 the exact transformation: inspects sample JSON and generates Draft-07 JSON Schema. The verb 'generates' and resource 'JSON Schema definitions' are specific and distinguish it from validation siblings, even without naming them.

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?

Implies the use case (you have sample JSON and need a schema), but offers no explicit when-to-use or when-not guidance, and does not name JSONSchemaValidator as the opposite operation. An agent must infer the choice from the tool name and description.

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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