When Does Personality Composition Matter for Multi-Agent LLM Teams?

Research explores how personality prompting in large language models (LLMs) affects multi-agent team performance across different tasks. It finds that the impact of personality traits, such as agreeableness, is highly dependent on the task structure. While low agreeableness has little effect on structured coding tasks, it significantly degrades performance in open-ended collaboration and competitive bargaining scenarios.