What Do Agents Communicate? Characterizing Information Exchange in Multi-Agent Systems

Yong Jin Chun, Iftekhar Ahmed
5/19/2026
cs.MA

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Abstract

Large Language Models (LLMs) have enabled collaborative Multi-Agent (MA) systems, where interacting agents improve performance through diverse reasoning and iterative refinement. However, these systems remain vulnerable to error propagation, where early-stage information degrades downstream reasoning. To address this, we conduct a systematic analysis of inter-agent communication to identify which information drives MA performance. We find that the absence of reasoning and verification in inter-agent communication significantly degrades performance. Based on these insights, we propose Category-Aware Recovery Augmentation (technique), which enforces the presence of critical information during communication. recovers up to 86.2% of failed cases. Our results highlight the key role of information quality in effective MA collaboration. Our code is available at https://anonymous.4open.science/r/cara_mas

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@article{chun2026what,
  title  = {What Do Agents Communicate? Characterizing Information Exchange in Multi-Agent Systems},
  author = {Yong Jin Chun and Iftekhar Ahmed},
  year   = {2026},
  eprint = {2605.20548},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2605.20548v1}
}

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