# Required Fields Validator

> Required Fields Validator — yanke1816-required-fields-validator-mcp. Use this tool when you need to ensure data completeness and accuracy by validating user-submitted fields against a set of required field names. It solves problems of incomplete or missing data by returning structured validation results, indicating which fields pass or fail validation. It takes in field names and submitted data as input and returns a validation report as output, making it ideal for use in form submissions, data processing, and workflow automation contexts.

Canonical page: https://skillsregistry.net/skills/yanke1816-required-fields-validator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yanke1816-required-fields-validator-mcp

## Description

Validates submitted fields against required field names and returns structured validation results. It is a read-only, deterministic tool that does not call external APIs or modify data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bjpf2q8i2x)
- **Repository:** <https://github.com/YanKe1816/required-fields-validator-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "yanke1816-required-fields-validator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yanke1816-required-fields-validator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yanke1816-required-fields-validator-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt