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AWS, Azure, and GCP AI Agents Tested Across All Six Cross-Cloud Paths Using A2A v1.0

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A developer completed a six-part benchmark series testing cross-cloud agent interoperability by deploying AI agents on AWS Bedrock AgentCore, Microsoft Azure Foundry, and Google Cloud ADK across all six possible directed communication paths. The benchmark used a currency conversion comparator that ran in three modes: local MCP tool calls, remote A2A delegation, and a concurrent verification mode comparing both results. A2A v1.0 protocol successfully interoperated in every direction tested, with agents consistently selecting the correct tools and producing matching outputs. Key integration challenges included Azure's requirement for the correct token audience and specific Foundry role assignments, while AWS AgentCore needed a custom JWT authorizer for non-AWS callers since its default IAM/SigV4 auth is inaccessible to Azure or GCP containers. The GCP-to-AWS path additionally exposed a subtle AWS IAM trust policy bug where Google's claim keys are misleadingly named, causing silent authentication failures until the correct claim mappings were identified.

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