MCP For Claude Marketplace
Tool Call Schema Validator

Tool Call Schema Validator MCP Connector for Claude

A+

High-precision validation of LLM tool call arguments against strict JSON Schema definitions.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

Ensure runtime reliability for AI agents by strictly validating tool call arguments. This MCP server provides precise tools like validate_tool_call to check type conformity, numeric bounds, string lengths, and enum constraints. It performs deep, recursive traversal of complex nested objects and arrays, providing exact path-based error reporting (e.g., args.user.id) to pinpoint exactly where a schema violation occurs.

json-schemallmvalidationdebuggingdata-integrity

3 tools expose this connector's capabilities to your AI agent.

check_type_conformity

Performs a granular check of a single value against a specific type constraint

summarize_validation_report

Aggregates multiple validation errors into a human-readable summary for the user

validate_tool_call

Checks if a specific set of tool arguments matches a provided schema definition

See how to talk to your AI agent using Tool Call Schema Validator.

Validate if these arguments match the schema: {"age": 25} with schema {"type": "object", "properties": {"age": {"type": "integer"}}, "required": ["age"]}

The validation was successful.

Check if the value 10.5 matches the type 'integer'.

No, the value 10.5 is a number, not an integer.

Summarize these errors: [{"path": "args.name", "message": "is required"}]

Validation failed: 1 error found. Path 'args.name': is required.

It validates that LLM-generated arguments strictly match a provided JSON Schema, including types, required fields, and logical constraints like min/max values.

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