# wtrl_mcp

> Use this tool when you need to generate precise and machine-verifyable documentation for your code, specifically in the Waterloo Docstrings format. It assists in writing normative docstrings, solving the problem of inconsistent and unverifiable code documentation. The tool takes in code snippets and outputs formatted docstrings, ideal for use in projects requiring strict documentation standards.

Canonical page: https://skillsregistry.net/skills/uwe-at-sdv-sdv-doc-waterloo  
JSON: https://api.skillsregistry.net/v1/skills/uwe-at-sdv-sdv-doc-waterloo

## Description

Assist LLM writing Waterloo Docstrings, a format with emphasis on machine-verifyable normativity.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zi5l0uhec0)
- **Repository:** <https://github.com/uwe-at-sdv/sdv_doc_waterloo>

## 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": "uwe-at-sdv-sdv-doc-waterloo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/uwe-at-sdv-sdv-doc-waterloo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/uwe-at-sdv-sdv-doc-waterloo/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