# mcp-agent-reliability

> mcp-agent-reliability — princeruhulofficial-mcp-agent-reliability. Use this tool when you need to optimize AI agent performance and reduce token waste by scoring tool descriptions, estimating token costs, and simulating tool selection. It solves problems of suboptimal tool choices and wasted resources by generating reliability reports to inform agent decision-making. The tool takes in tool descriptions and outputs reliability scores and token cost estimates to help agents choose the right tools in various contexts.

Canonical page: https://skillsregistry.net/skills/princeruhulofficial-mcp-agent-reliability  
JSON: https://api.skillsregistry.net/v1/skills/princeruhulofficial-mcp-agent-reliability

## Description

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.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kcobo1qeau)
- **Repository:** <https://github.com/princeruhulofficial/mcp-agent-reliability>

## 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": "princeruhulofficial-mcp-agent-reliability"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/princeruhulofficial-mcp-agent-reliability` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/princeruhulofficial-mcp-agent-reliability/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
