magenie33-quality-dimension-generator
Generate tailored quality criteria and scoring guides from your task descriptions. Refine objectiv鈥�
可用工具 （5 个）
该服务在 MCP 协议中暴露的工具，AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数：query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数：urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数：url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数：url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数：input
服务介绍
Quality Dimension Generator
An MCP server that generates quality evaluation standards for any task. Transform vague requirements into precise, measurable quality criteria with AI-powered analysis, ultimately improving your final work quality.
# 🎯 What It Does
- 📊 Analyzes your tasks - Understand what needs to be accomplished
- 🎯 Creates evaluation standards - Generate specific quality dimensions with scoring criteria
- 📈 Sets target scores - Define expected quality levels (e.g., 8/10)
- ✅ Guides execution - Help you complete tasks with clear quality standards
# 🚀 Quick Start
# # Installation
Install from the Smithery AI Model Context Protocol Registry:
🔗 Get Quality Dimension Generator on Smithery
# # Basic Usage
Step 1: Generate task analysis
generate_task_analysis_prompt({
userMessage: "Write a 1000-word article about AI"
})
Step 2: Generate quality standards
generate_quality_dimensions_prompt({
taskAnalysisJson: "..." // JSON from step 1
})
Result: Get comprehensive quality evaluation criteria with target scores, then complete your task following those standards.
# 📋 Example Output
For the task "Write a technical blog post":
{
"expectedScore": 8,
"scoreCalculation": "Average of all 5 dimension scores",
"dimensions": [
{
"name": "Technical Accuracy",
"description": "Correctness and depth of technical content",
"importance": "Ensures readers get reliable information",
"scoring": {
"10": "All technical details verified and comprehensive",
"8": "Mostly accurate with minor gaps",
"6": "Generally correct but lacks depth"
}
}
// ... 4 more dimensions
]
}
# 💡 Use Cases
- Software Development - Code quality, testing, documentation standards
- Content Creation - Writing quality, SEO, engagement metrics
- Project Management - Deliverable criteria, timeline adherence
- Research - Methodology, accuracy, presentation standards
# 🤝 Contributing
Contributions welcome! This project is open source under the MIT License.
# 🔗 Resources
Transform your work quality today! 🚀
