A high-fidelity simulation of a busy hot pot restaurant that benchmarks AI agents on safety compliance and strict operational rules. Unlike standard booking tasks, this domain forces agents to resolve conflicting constraints in real-time—such as enforcing strict allergy protocols against customer pressure (the "Plain Water Protocol"), adhering to rigid staff authority limits (e.g., Server vs. Manager discount powers), and managing complex inventory. Through 101 adversarial scenarios, it exposes critical failures in current LLMs when they must prioritize business liability over making the customer happy.