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Toolrank

# 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

该来源不提供完整文件导出(国内平台多为平台内托管),仅存元数据与原链

接入信息

传输形态
http
鉴权方式
鉴权未知
端点
https://toolrank--imhiroki.run.tools
鉴权方式未标注,请核对官方文档后再接入——不要直接使用以下片段
{
  "mcpServers": {
    "Toolrank": {
      "url": "https://toolrank--imhiroki.run.tools"
    }
  }
}

能力清单

工具说明
toolrank_scoreAnalyzes 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%). Use this when you want to check or improve the quality of your MCP tool definitions. Returns per-tool scores, maturity level, specific issues found, and fix suggestions ranked by impact.
toolrank_suggestGenerates specific improvement suggestions for MCP tool definitions to increase their ToolRank Score. Use this when you have a low score and want actionable fix recommendations. Returns rewritten description, improved schema, and estimated score improvement for each suggestion.
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