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This paper studies orchestration mechanisms for tool-using AI agents in customer-service workflows, comparing declarative agents with imperative state machines and baselines. Results show retrieval quality is a key bottleneck, and under high-quality retrieval, declarative skills improve accuracy on procedural tasks.