Free Lesson
How to Catch Tool-Call Errors in AI Agents
60 min
Nov 25, 2025 2:00 PM
Virtual (Zoom)
In this video
What you'll learn
Detect silent tool-call failures
Learn to identify when AI agents call wrong tools or pass incorrect parameters in production
Evaluate tool-use accuracy at scale
Apply practical techniques using evaluators like limbic-tool-use to measure agent reliability
Trace and improve agent tool interactions
Implement real-time analysis methods to debug and enhance how agents use external tools
Why this topic matters
AI agents fail most often through silent tool-call errors—wrong tools or bad parameters—not bad responses. Learning to detect and fix these failures is essential for building production-ready agents. You'll gain practical skills to evaluate, debug, and improve agent reliability, making you more effective at deploying AI systems that actually work at scale.
You'll learn from
Jason Liu
Consultant at the intersection of Information Retrieval and AI
Julia Neagu
Co-founder & CEO, Quotient AI
worked with
