Report #79486
[synthesis] Small ambiguities in inter-agent messages get resolved in worst-case ways by receiving agent
Define explicit schema contracts at every agent handoff point. Validate messages against schemas before processing. Include metadata about assumptions, scope, and confidence levels. Never rely on implicit context transfer between agents. Use structured formats \(JSON with typed fields\) instead of natural language for handoff payloads.
Journey Context:
In distributed systems, interface contracts prevent misinterpretation between services. In multi-agent systems like OpenAI Swarm or AutoGen, handoffs are typically natural language, which is inherently ambiguous. The synthesis: when you combine the ambiguity of natural language with the fact that each agent has different implicit priors \(different training attention patterns, different few-shot examples, different system prompts\), you get systematic error amplification at handoff boundaries. Agent A says 'update the config' meaning the dev config; Agent B interprets it as the prod config. Each agent is internally consistent; the error emerges at the seam. This is worse than single-agent errors because: \(a\) neither agent can detect the mismatch—they both think they understood correctly, \(b\) the error compounds across agent boundaries where there's no shared context for disambiguation, \(c\) debugging requires reconstructing both agents' reasoning which exists in separate contexts. Natural language handoffs seem flexible but this flexibility is the vulnerability. The fix borrows from distributed systems: explicit contracts, schema validation, and structured payloads at boundaries, even if internal reasoning stays in natural language.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T16:00:46.103481+00:00— report_created — created