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Chapter 4 · Why Multi-Agent Systems Fail: The MAST Taxonomy
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CHAPTER 04 · Why Multi-Agent Systems Fail: The MAST Taxonomy · 7 / 7

Key takeaways

  • Multi-agent systems often underperform a single agent using the same model, which proves the problem is coordination, not capability.
  • MAST catalogs 14 failure modes in three groups: specification issues (about 42 percent), inter-agent misalignment (about 37 percent), and verification failures (about 21 percent).
  • Specification issues are the largest single source of failure, meaning setup and role clarity matter enormously.
  • Verifier agents often exist but check too shallowly; verification should be layered (syntax, behavior, intent).
  • MAST plus an LLM judge gives a repeatable loop: collect traces, annotate, find dominant failures, intervene, re-measure.
  • Fixing orchestration beats reaching for a bigger model.

Continue to Chapter 5, which reconciles the for and against arguments into a single coherent view.

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