MCP 服务器

mcp-agent-reliability

MCP server that scores tool descriptions, estimates token costs, simulates agent tool selection, and generates reliability reports to help AI agents choose the right tools and reduce wasted tokens.

README

mcp-agent-reliability

Make your AI agents more reliable.

This MCP server acts like a reliability coach for your agents.
It helps you:

Score how clear your tool descriptions are (so the agent picks the right one)
Estimate how many tokens your tools will cost
Simulate which tool an agent would choose for a task
Generate simple test prompts
Get a full reliability report

Built for entrepreneurs and teams who are tired of agents calling the wrong tools and burning money.

Why this exists (simple story)

Imagine you give a 10-year-old child a big list of 30 toys and say “go play with the right one”.
If the labels are confusing, the child will pick the wrong toy.

AI agents are the same.
When you connect many MCP servers, the agent sees a long menu of tools.
If the descriptions are vague, it picks the wrong tool → wasted tokens → failed tasks.

This server is the “label checker” and “practice teacher” for that menu.

Quick start

# clone
git clone https://github.com/princeruhulofficial/mcp-agent-reliability.git
cd mcp-agent-reliability

# install
npm install

# build
npm run build

# run (stdio)
npm start

Add to Claude Desktop / Cursor / any MCP client

{
  "mcpServers": {
    "agent-reliability": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-agent-reliability/dist/index.js"]
    }
  }
}

Or with npx (after publish):

{
  "mcpServers": {
    "agent-reliability": {
      "command": "npx",
      "args": ["-y", "mcp-agent-reliability"]
    }
  }
}

Tools

Tool	What it does
`score_tool_description`	Gives a 0-100 score + reasons + suggestions for a tool description
`estimate_token_cost`	Rough token count for a list of tools
`simulate_tool_choice`	Predicts which tool an agent would pick for a prompt
`generate_agent_tests`	Creates 3 test prompts you can run against your agent
`reliability_report`	Full summary of scores + token estimates

All tools are pure computation — no paid API keys required.

Example

Score a description:

Tool: score_tool_description
name: create_invoice
description: Create a new invoice for a customer. Requires customer_id and amount. Returns invoice_id.

You get something like:

{
  "score": 85,
  "reasons": ["Good length...", "Mentions inputs or outputs..."],
  "suggestions": [],
  "interpretation": "Excellent — agent should pick this tool reliably"
}