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τ-Emotion-Bench introduces a ten-domain benchmark for evaluating tool-calling LLM agents under emotion-conditioned user interactions, alongside Tracer, a scalable agentic data-generation pipeline that improves Qwen3 models and generalizes to τ-Bench and τ-Trait, revealing that frontier agents remain unreliable when users behave emotionally.