# Let's Clarify

> Use this tool when you need to collect structured data from individuals or groups through customizable forms, surveys, or approval requests. It solves problems such as gathering feedback, streamlining decision-making, and automating data collection by sending unique URLs to recipients and returning structured JSON data. Ideal for use cases requiring efficient and organized data gathering, such as company-wide surveys or quick approvals.

Canonical page: https://skillsregistry.net/skills/letsclarify-letsclarify  
JSON: https://api.skillsregistry.net/v1/skills/letsclarify-letsclarify

## Description

Your AI agent creates a form via API — one recipient for a quick approval, or thousands for a company-wide survey. Each person gets a unique URL that you send through your own channels: email, Slack, or embedded on your site. When they respond, your agent gets structured JSON back.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/letsclarify/letsclarify)

## 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": "letsclarify-letsclarify"
    }
  }
}
```

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