# Validate a single LLM tool-call JSON response

**Use case:** 

Check one LLM/tool-call JSON response against your JSON Schema and get a concrete repair hint for every violation — ready to feed back into a retry prompt.

## Input

```json
{
  "documents": [
    "{\"name\": \"Alice\", \"age\": \"30\", \"email\": \"alice@example.com\"}"
  ],
  "schema": {
    "type": "object",
    "properties": {
      "name": {
        "type": "string"
      },
      "age": {
        "type": "integer",
        "minimum": 0
      },
      "email": {
        "type": "string",
        "format": "email"
      }
    },
    "required": [
      "name",
      "age",
      "email"
    ],
    "additionalProperties": false
  },
  "hints": true,
  "normalize": false,
  "maxErrorsPerDocument": 20
}
```

## Output

```json
{
  "index": {
    "label": "#"
  },
  "valid": {
    "label": "Valid"
  },
  "errorCount": {
    "label": "Error count"
  },
  "truncated": {
    "label": "Truncated"
  },
  "repairable": {
    "label": "Repairable"
  },
  "errors": {
    "label": "Errors"
  }
}
```

## About this Actor

This example demonstrates how to use [LLM Output Validator: JSON Schema + Repair Hints](https://apify.com/codeclouds/llm-output-validator.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/codeclouds/llm-output-validator.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/codeclouds/llm-output-validator.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).