Agent Tool Call Failure Cascade
criticalAI agents making sequential tool calls can experience cascading failures when early tools fail. Tracking tool usage success rates and agent operation errors reveals brittle integration points.
Monitor agent operation success/failure rates in AgentOps dashboard. Track tool execution errors and correlate with openai_request_error to distinguish LLM failures from tool failures. Alert when tool error rate exceeds 10% or agent task completion rate drops below 80%.
Implement graceful degradation for tool failures: return partial results, use cached data, or prompt agent to retry with different parameters. Add tool-level error handling and circuit breakers. Monitor tool latency to prevent timeouts. Use session replay to debug multi-step agent failures.