Summary

University of Washington tests agents that schedule meetings across separate owners and trust boundaries. Honest-agent success often falls as group size grows; one configuration drops from 90% to 0% when moving from one to seven participants. Malicious agents exploit unverified claims, social pressure and fragmented calendar disclosure despite model safety training. The paper proposes a five-layer social harness for identity, ordered communication, action guards, protocol norms and governance.

Why it matters
For multi-party agent systems, transport protocols such as A2A are connectivity, not a trust model. Messages need provenance, authority checks, task-state rules and auditable consequences outside the model. The experiments cover scheduling rather than open-ended enterprise work, so the proposed stack is a design target, not a finished standard.
Technical details
Models GPT-5.4 and Claude Opus 4.8 configurations
Task multi-party meeting scheduling with 1, 3, 5 or 7 students
Honest Failure one shared-context configuration falls from 90% success at N=1 to 0% at N=7
Attacks stalling, deception, social pressure and calendar reconstruction
Proposal five layers: identity, reliable communication, action guards, interaction norms and governance
Artifacts companion repository and selected traces released
Tags
multi-agentA2Atrustagent-securityprotocol