Jul 01, 2025
Version 1
A2A Protocol V.1
- Paola Di Maio1
- 1CSKRNS
Protocol Citation: Paola Di Maio 2025. A2A Protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.8epv5k7r6v1b/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: July 01, 2025
Last Modified: July 01, 2025
Protocol Integer ID: 221353
Keywords: a2a protocol, agent protocol, a2a, protocol, master agent, agent, multiple specialized agent, autonomous ai agent, ai, interoperable way, delegate task, complex workflow
Abstract
A2A (Agent-to-Agent Protocol) is a framework that allows autonomous AI agents to communicate, coordinate, and delegate tasks among themselves in a secure, modular, and interoperable way. It is designed to support complex workflows where multiple specialized agents work together, often under the orchestration
of a master agent.
Troubleshooting
Agent Registration & Discovery
Agents register their capabilities and presence in a shared directory or registry.
Agents can query this registry to discover other agents suitable for collaboration or specific tasks.
Authentication & Authorization
Agents authenticate themselves to the directory and to each other to establish trust.
Authorization checks ensure only permitted agents can access certain functions or data.
Negotiation & Task Delegation
An orchestrating (master) agent identifies a complex task and breaks it into subtasks.
The orchestrator negotiates and delegates subtasks to specialized agents based on their capabilities and availability.
Secure Messaging & Communication
Agents communicate using a standardized, encrypted protocol.
Messages include commands, status updates, data payloads, or requests for clarification.
Subtask Execution
Specialized agents execute their assigned subtasks, possibly using their own tools or APIs.
Agents may use additional protocols (like MCP) to interface with external systems as needed.
Progress Reporting & Feedback
Agents report progress, results, or errors back to the orchestrator.
The orchestrator may adjust assignments or parameters based on feedback.
Result Aggregation
The orchestrator collects and validates all results from the specialized agents.
Results are aggregated and post-processed to produce the final output.
Completion & Logging
The orchestrator confirms task completion.
All agents log their actions and results for auditing and future optimization.