# Toolrank

> Use this tool when you need to score and optimize MCP tool definitions for AI agent discovery, solving problems of tool readability and effectiveness. It analyzes tool definitions and returns a ToolRank Score, evaluating dimensions such as findability, clarity, precision, and efficiency, and provides improvement suggestions. Ideal for use cases where AI agents struggle to understand or utilize tools, ToolRank offers a simple interface with inputs of MCP tool definitions and outputs of scored evaluations and suggested improvements.

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

## Description

# ToolRank MCP Server

Score and optimize MCP tool definitions for AI agent discovery. The first ATO (Agent Tool Optimization) platform.

## Tools

### toolrank_score
Analyzes MCP tool definitions and returns a ToolRank Score (0-100) measuring agent-readiness. Evaluates four dimensions: Findability (25%), Clarity (35%), Precision (25%), and Efficiency (15%). Returns per-tool scores, maturity level, specific issues found, and fix suggestions ranked by impact.

### toolrank_suggest
Generates specific improvement suggestions for MCP tool definitions. Returns rewritten descriptions, improved schemas, and estimated score improvements.

## Install
```bash
npx @toolrank/mcp-server
```

## Links

- Website: https://toolrank.dev
- Framework: https://toolrank.dev/framework
- Ranking: https://toolrank.dev/ranking
- GitHub: https://github.com/imhiroki/toolrank
- License: MIT

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-02

## Source

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

## 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": "imhiroki-toolrank"
    }
  }
}
```

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

---
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