When Your AI Agent Needs to Phone a Friend: Patterns for Tool Calling

When Your AI Agent Needs to Phone a Friend: Patterns for Tool Calling You know what's funny about building AI agents? The hardest part isn't the AI. It's figuring out when to let them use tools. I've been working on a client project where we're building an agent that manages infrastructure deployments. Simple enough, right? The agent needs to check server status, restart services, maybe trigger a build. Standard DevOps stuff. But here's the thing — giving an AI unrestricted access to production infrastructure is... well, let's just say my client wasn't thrilled when I suggested it. And honestly? They were right. The Problem Nobody Talks About Most tutorials show you how to connect tools to your LLM. They don't show you how to prevent your agent from becoming a very expensive chaos machine. I learned this one the hard way last year. We built an agent that could manage GitHub repositories — create issues, close PRs, comment on discussions. Standard stuff. We deployed it, and within an ho