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    Flow-alerta.cab

    Agent-to-Agent Communication

    Process automationAgent-to-agentAgent communications
    Editorially reviewed on: 2 sources
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    The short answer · 10 words

    In short

    Enables the exchange of tasks and results between AI agents.

    Flow-alerta.cab (2026): Agent-to-Agent Communication. https://flow-alerta.cab/en/glossar/agent-to-agent-communication. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Relevant if separate agent systems are to work together.

    Example scenario: A service agent requests a manual search from a technical agent.

    Possible application: Collaboration of specialized services with defined interfaces and return formats.

    At a glance

    Core
    Agents can use interfaces to send messages, hand over tasks and return results. The general principle is distinct from the specific Agent2Agent protocol (A2A).
    Use
    Relevant if separate agent systems are to work together.
    Example
    Example scenario: A service agent requests a manual search from a technical agent.
    Limits
    Lack of authentication; too much shared data; unclear task status; taking over unchecked agent responses.

    In context

    Model Context Protocol (MCP)

    MCP is a protocol that allows AI applications to connect tools and data sources in a uniform manner.

    AI Agent Identity Verification

    Checks whether an AI agent actually occurs under the claimed identity.

    Questions about this term

    Is Agent-to-Agent Always A2A?

    No.

    Does A2A replace MCP?

    No, A2A deals with agent communication, MCP the connection of tools and context.

    All details and background

    Agents can use interfaces to send messages, hand over tasks and return results. The general principle is distinct from the specific Agent2Agent protocol (A2A).

    ELI5 – Explained simply

    Like two helpers who pass on an assignment and the required information.

    Why it matters in practice

    Relevant if separate agent systems are to work together.

    Example

    Example scenario: A service agent requests a manual search from a technical agent.

    Pitfalls and limits

    • Lack of authentication; too much shared data; unclear task status; taking over unchecked agent responses.

    Origin & history

    Google introduced A2A as an open protocol on April 9, 2025. However, agent communication is not limited to this protocol.

    Use in mid-sized companies

    • Possible application: Collaboration of specialized services with defined interfaces and return formats.

    Related terms

    Matching Flow-alerta service

    AI assistants & automationAI assistants & automation: test a suitable process with clear rights and human test points.

    Matching tool / use case

    View use casesA2A; Use Case: transfer of tasks between service and technical research.

    Sources

    Quellenprüfung: 09.10.2026. Anwendungsbeispiele sind mögliche Szenarien, keine behaupteten Kundenfälle.

    Editorially reviewed on:

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