# Agent Tools

> Use this tool when you need to transform, format, and inspect structured data for AI agents, solving problems related to data consistency and compatibility. It takes in structured data as input and outputs formatted data, enabling seamless integration with AI systems. Ideal for use cases requiring data standardization, debugging, and optimization in AI-driven applications.

Canonical page: https://skillsregistry.net/skills/atmaticai-agent-tools  
JSON: https://api.skillsregistry.net/v1/skills/atmaticai-agent-tools

## Description

Provides deterministic tools for transforming, formatting, and inspecting structured data for AI agents.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/evqqxd2hsm)
- **Repository:** <https://github.com/AtmaticAI/agent-tools>

## 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": "atmaticai-agent-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atmaticai-agent-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atmaticai-agent-tools/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