The Last Mile Problem in Agentic AI: Why Tool Calling Reliability Is Harder Than It Looks
Red Hat, Thursday, September 3rd, 2026
Red Hat argues tool-call execution, not model reasoning, is where agentic AI systems quietly break in production.
Most attention in agentic AI goes to the model's reasoning: whether it can form a plan, break a goal into steps and decide what to do next.
Red Hat argues far less attention goes to the final step of actually executing the action the model chose, and that this last mile is where agentic systems quietly fail in production.
Tool calls are what give an agent hands, separating a model that can describe an action from one that performs it. The post examines why reliable tool calling is harder than it appears and what teams should watch for when moving agents into real environments.