Session
When Agents Loop: Cutting 14 Tool Calls to 2
AI agents waste massive resources calling the same tool over and over. 14 calls where 2 would suffice, burning tokens and frustrating users. The culprit: ambiguous tool feedback that leaves agents guessing whether they succeeded.
Three production solutions: DebounceHook with sliding window duplicate detection, clear SUCCESS/FAILED states that tell agents when to stop, and LimitToolCounts for hard ceilings. Live demo showing 14 calls reduced to 2 and response times dropping from 21s to 4s.
Outline:
• The Token Waste Problem
• DebounceHook: Detect and Block Duplicates
• Clear SUCCESS/FAILED States: Prevention by Design
• LimitToolCounts: Hard Ceiling Enforcement
• Production Patterns and Wrap-Up
Elizabeth Fuentes Leone
Developer Advocate
San Francisco, California, United States
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