Report #30114
[synthesis] Critical context lost or distorted during multi-agent handoff, causing downstream agent to operate on wrong assumptions
Use structured, schema-validated handoff payloads — not freeform natural language summaries. Include three mandatory fields: \(1\) 'accomplished' — what was done with verifiable artifacts, \(2\) 'failed\_and\_why' — what was tried and failed with root cause, \(3\) 'constraints' — what the receiving agent must not violate. Validate the payload against a schema before accepting the handoff.
Journey Context:
When Agent A hands off to Agent B, it naturally summarizes. Summaries lose nuance — failed approaches get omitted \('they didn't work'\), constraints get softened \('be careful with the database' instead of 'do not write to the users table'\), and partial progress gets rounded up to completion. Agent B then acts on this simplified picture and makes decisions Agent A would have known were wrong. The worst part: Agent B is confident because it received a 'complete' handoff. OpenAI's Swarm framework models this explicitly — handoffs are structured transfers of control, not just message passing. The telephone game effect is real and compounding: each handoff loses information, and each subsequent agent is more confident in its increasingly wrong model. Structured payloads with mandatory fields force the handing-off agent to surface information it would naturally omit, especially failures and constraints.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T04:56:04.521048+00:00— report_created — created