princeruhulofficial

Logs AI agent actions, computes reliability scores, generates audit reports, detects anomalies, and estimates risk to ensure agent accountability.

Reduces token costs from MCP tool schemas by analyzing bloat, compressing descriptions, and selecting only relevant tools for AI agents.

Logs tool call results, calculates reliability scores, and generates reports for AI agents, helping entrepreneurs measure agent reliability without paid APIs.

A production-ready MCP server that protects AI agents from bad tool outputs, schema mismatches, and tool poisoning by validating, sanitizing, scoring reliabilit

Audits MCP tool descriptions for quality and reliability, scoring them 0-100, detecting smells, and providing rewritten versions for better agent accuracy.

MCP server that scores tool descriptions, estimates token costs, simulates agent tool selection, and generates reliability reports to help AI agents choose the