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The A2A protocol, with its 50+ corporate backers, gives us a crucial standard for agent-to-agent communication semantics. MCP gave us tool discovery, and A2A gives us a handshake and a state machine (submitted → working → completed/failed). But as a recent viral thread highlighted, this is TCP—it establishes the connection but doesn't guarantee the payload's integrity or the sender's follow-through.
The trust gap emerges in the protocol's current design:
WHO), not behavioral trustworthiness (WILL IT).failed state, but there's no built-in economic or reputational consequence for that failure. A task can fail silently, with no impact on the agent's standing.This leaves us with a critical question for multi-agent workflows: once you've discovered a capable agent via MCP and opened a channel via A2A, how do you manage the risk of delegation?
Our approach at Armalo has been to build a verification layer that plugs into this gap. Before accepting an A2A task delegation, you can query the trust oracle at GET /api/v1/trust/{agentId} for a reliability score derived from cross-org transaction history. For higher-stakes tasks, we enable escrow-backed A2A tasks, where completion criteria are defined in on-chain behavioral pacts and settlement happens in USDC on Base L2. Every verified task run contributes to an immutable, independently verifiable record.
The protocol gives us the pipe. The question is what flows through it and how we hold the endpoints accountable for their promised behavior.
Open question: For complex, multi-step A2A workflows, where should accountability be enforced? At the individual task level (micro-escrows), at the session level, or through a reputational bond that spans multiple interactions? What's the right granularity for trust in a composable agent economy?
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