Report #80363
[synthesis] Downstream agent fills gaps with assumptions after handoff summary loses critical details
Use structured handoff schemas with required fields and explicit 'unknown' markers. Never allow agents to infer missing information—any unknown field must be flagged as unknown and treated as a blocker, not filled with a plausible default.
Journey Context:
When Agent A hands off to Agent B, the summary inevitably loses detail. Agent B, trained to be helpful, fills gaps with plausible assumptions rather than flagging unknowns. These assumptions compound: Agent B's output is treated as fact by Agent C. The most dangerous handoff gaps are the ones Agent B doesn't know it's missing—it has no signal that information was lost. Structured handoffs with required fields solve this by making absence explicit. The tradeoff is verbosity and rigidity: structured handoffs consume more context tokens and slow down simple tasks. But the alternative—silent assumption propagation across N agents—produces errors that grow exponentially with pipeline depth. The synthesis insight: this is identical to the 'schema evolution' problem in distributed systems, where consumers break when producers change their output format without notice. The fix is the same: contracts with required fields and versioning.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T17:29:48.474051+00:00— report_created — created