TeamBench: Evaluating Agent Coordination under Enforced Role Separation

📰 ArXiv cs.AI

Learn to evaluate agent coordination with TeamBench, a benchmark for assessing role separation in agent systems

advanced Published 11 May 2026
Action Steps
  1. Build a multi-agent system with defined roles using TeamBench
  2. Configure operating system-enforced role separation to prevent agents from accessing other roles' tasks
  3. Evaluate agent coordination using the 851 task templates and 931 seeded instances provided by TeamBench
  4. Test the effectiveness of role separation in preventing one role from doing another role's work
  5. Apply TeamBench to real-world scenarios to assess the coordination of agents in complex tasks
Who Needs to Know This

Researchers and developers of multi-agent systems can benefit from TeamBench to evaluate the coordination of agents under enforced role separation, ensuring that each role performs its intended task

Key Insight

💡 TeamBench provides a benchmark for evaluating agent coordination under enforced role separation, ensuring that agents work together effectively without overstepping their roles

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🤖 Evaluate agent coordination with TeamBench! 📊

Key Takeaways

Learn to evaluate agent coordination with TeamBench, a benchmark for assessing role separation in agent systems

Full Article

Title: TeamBench: Evaluating Agent Coordination under Enforced Role Separation

Abstract:
arXiv:2605.07073v1 Announce Type: new Abstract: Agent systems often decompose a task across multiple roles, but these roles are typically specified by prompts rather than enforced by access controls. Without enforcement, a team pass rate can mask whether agents actually coordinated or whether one role effectively did another role's work. We present TeamBench, a benchmark with 851 task templates and 931 seeded instances for evaluating agent coordination under operating system-enforced role separa
Read full paper → ← Back to Reads

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