Your agent does not crash. It gets stuck. It returns wrong answers when a tool output overflows the context window. It waits forever when a tool calls a slow service. It calls the same tool 14 times because the response said more results may be available. Nothing throws an error. It just wastes tokens and time. Three silent failures, three fixes, each with real numbers. When a 214KB log fills the window, store the big data outside it and pass back a short reference: about 7 times fewer tokens. When a tool hangs on a slow service, return a tracking id right away and check back later, so a 17 second wait becomes under 2. When vague feedback makes the agent retry, give it a clear done signal and block repeats: 14 calls drop to 2. You'll walk away with: • Three production-ready patterns you can implement the same day • Working code with real metrics for each fix • An open-source repository with all demos

Outline: • Three Silent Failures • Fix 1: Memory Pointer Pattern • Fix 2: Async HandleId for MCP • Fix 3: DebounceHook + Clear States • Decision Matrix + Resources