🤖 AI Summary
Existing agent interoperability protocols primarily focus on task coordination and lack support for governance-constrained collective decision-making in multi-agent communities. Drawing on organizational theory and corporate governance standards, this work proposes a six-dimensional governance framework encompassing membership management, deliberation, voting, dissent reservation, human escalation, and audit replay. The study systematically evaluates five prominent protocols—MCP, A2A, ACP, and others—and reveals, for the first time, that the core deficiency lies not in insufficient protocol-level features but in the absence of a dedicated architectural layer for governance. It further distinguishes between scalability gaps and structural gaps. The analysis demonstrates that current protocols universally lack voting and dissent reservation mechanisms, provide only partial support for deliberation, and offer no complete set of governance primitives.
📝 Abstract
Agent interoperability protocols (MCP, A2A, ACP, ANP, and ERC-8004) have rapidly matured to enable identity, capability discovery, tool access, and message exchange between autonomous agents. However, as enterprises deploy heterogeneous agent fleets that must make collective decisions under governance constraints, a question arises: can these protocols support governed agent communities, or only task-oriented coordination? We present a systematic gap analysis applying a six-dimension governance requirements taxonomy (membership, deliberation, voting, dissent preservation, human escalation, and audit/replay) derived from organizational theory, multi-agent systems literature, and enterprise governance standards. We analyze each protocol's specification against this taxonomy, classifying capabilities as Supported, Partial, or Absent. The resulting gap matrix reveals that voting and dissent preservation are universally absent across all five protocols, deliberation is absent or at most partial, and no protocol encodes the full set of primitives required for governed agent communities. We distinguish extensible gaps (addressable through protocol extension mechanisms) from structural gaps (requiring a new architectural layer) and assess time-sensitivity based on observed protocol evolution velocity. The analysis establishes that agent community governance constitutes a missing architectural layer above current interoperability standards, not a missing feature within them.