Enhanced A2A Requirements for Agents Collobration in Enterprise
draft-zgsgl-dispatch-a2a-requirements-enterprise-01
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| Document | Type | Active Internet-Draft (individual) | |
|---|---|---|---|
| Authors | Li Zhang , Nan Geng , Xiaotong Shang , Qiangzhou Gao , Zhenbin Li , Jian Ge | ||
| Last updated | 2025-11-27 | ||
| Replaces | draft-lb-a2a-requirements-enterprise | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
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| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
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draft-zgsgl-dispatch-a2a-requirements-enterprise-01
dispatch L. Zhang
Internet-Draft Huawei Technologies
Intended status: Informational N. Geng
Expires: 1 June 2026 Huawei
X. Shang
Q. Gao
Z. Li
Huawei Technologies
J. Ge
CAICT
28 November 2025
Enhanced A2A Requirements for Agents Collobration in Enterprise
draft-zgsgl-dispatch-a2a-requirements-enterprise-01
Abstract
This document proposes enhanced requirements for the A2A protocol
tailored to enterprise applications.
Status of This Memo
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This Internet-Draft will expire on 1 June 2026.
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Please review these documents carefully, as they describe your rights
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extracted from this document must include Revised BSD License text as
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
1.1. Requirements Language . . . . . . . . . . . . . . . . . . 2
2. Motivation . . . . . . . . . . . . . . . . . . . . . . . . . 2
3. Enhanced Requirements for A2A . . . . . . . . . . . . . . . . 3
3.1. Enhanced Discovery Requirements . . . . . . . . . . . . . 4
3.2. Enhanced Collobration Requirements . . . . . . . . . . . 4
3.3. Enhanced Security Requirements . . . . . . . . . . . . . 4
4. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 5
5. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 5
6. Normative References . . . . . . . . . . . . . . . . . . . . 5
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 5
1. Introduction
With the widespread adoption of AI technologies, AI agents with
special expertise are are developed and applied to everywhere in our
life. However, there are some tasks that are too complict to be
finished by a signle agent. The collobration of different agents are
necessary. Google Cloud launched the Agent2Agent (A2A) open
protocolaiming to provide a unified standards for agents
collaboration. However it still faces numerous challenges when
applied to enterprise scenarios.
This document proposes enhanced requirements for the A2A protocol
tailored to enterprise applications.
1.1. Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and
"OPTIONAL" in this document are to be interpreted as described in
BCP 14 [RFC2119] [RFC8174] when, and only when, they appear in all
capitals, as shown here.
2. Motivation
With the widespread adoption of AI technologies, AI agents with
special expertise are are developed and applied to everywhere in our
life, such as translation agents, image processing agents, and
chartting agents. However, there are some tasks that are too
complict to be finished by a signle agent. The collobration of
different agents are necessary. Against this backdrop, Google Cloud
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launched the Agent2Agent (A2A) open protocol on April 9, 2025, aiming
to provide a unified standards for agents collaboration.
Although the A2A protocol has provided a foundational framework for
multi-agent collaboration, it still faces numerous challenges when
applied to enterprise scenarios.
* Lack of centralized agent discovery capabilities: Centralized
agent discovery offers significant advantages for internal agent
collaboration in terms of data consistency, controllability, and
deployment complexity in a enterprise. However, the A2A protocol
still lacks a well-defined interface for centralized directory
services. In addition, the number of agents within enterprises is
growing rapidly. Large enterprises often deploy hundreds of
specialized agents covering various domains such as finance, human
resources, R&D, and operations. The increasing number of agents
poses new challenges to the latency and accuracy of agent
discovery.
* Complex business processes: In actual enterprise operations, core
business processes are often highly complex. For example, tasks
such as end-to-end risk control and approval in the financial
industry, or supply chain coordination and scheduling in
manufacturing, often need to be broken down into dozens of
interrelated subtasks. These involve multiple steps, including
data verification, logical judgment, and cross-departmental
resource scheduling. Temporary agent collaboration groups need to
be created based on task requirements, and conflicts between
different subtasks are common, requiring the agent communication
protocol to have mechanisms for temporary group creation and
conflict resolution.
* Strict permission control: Enterprises have extremely stringent
requirements for agent permission control. On one hand, they need
to assign differentiated permissions based on data sensitivity
(e.g., customer privacy data, core business secrets) and task
types to prevent unauthorized access. On the other hand, they
need to trace the entire interaction history of agents to meet
compliance and audit requirements. This poses new challenges to
the granularity of permission control and the auditing
capabilities of the protocol.
This document proposes enhanced requirements for the A2A protocol
tailored to enterprise applications, based on the challenges
mentioned above in enterprise scenarios.
3. Enhanced Requirements for A2A
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3.1. Enhanced Discovery Requirements
* Interfaces for agent communication with centralized directory
services: The interfaces for agent communication with centralized
directory services should be supported to provide agent
registration, addressing, and enable capability-based agent
discovery.
* Optimized centralized directory services: It is required to
support concurrent collaboration of thousands or more agents,
reducing search latency for massive numbers of agents within large
enterprises.
* Enhanced intent-based discovery and matching capabilities: The
directory service should be able to map high-level user intents to
chains or combinations of agents capable of fulfilling these
intents.
3.2. Enhanced Collobration Requirements
* Conflict resolution mechanism: The conflict resolution mechanism
should be added to define rules for agents to resolve conflicts in
outcomes and data inconsistencies, reducing the need for manual
intervention.
* Temporary collaboration group creation mechanism: The temporary
collaboration group creation machanism allows agents to form
temporary teams on demand to complete complex tasks, which will
automatically disband after task completion.
* Task progress reporting mechanism: The task progress reporting
mechanism permits remote agents to regularly report progress
percentages, providing visibility and control over the task
execution process.
3.3. Enhanced Security Requirements
* Fine-grained permission control: The fine-grained permission
control mechanism allows collaboration permissions to be assigned
based on task type and data level to prevent unauthorized access.
* Collaboration behavior audit log: The collaboration behavior audit
log mechanism records the entire process of agent interactions to
support traceability and compliance verification.
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4. IANA Considerations
This document has no IANA actions.
5. Acknowledgements
6. Normative References
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
DOI 10.17487/RFC2119, March 1997,
<https://www.rfc-editor.org/info/rfc2119>.
[RFC8174] Leiba, B., "Ambiguity of Uppercase vs Lowercase in RFC
2119 Key Words", BCP 14, RFC 8174, DOI 10.17487/RFC8174,
May 2017, <https://www.rfc-editor.org/info/rfc8174>.
Authors' Addresses
Li Zhang
Huawei Technologies
No. 156 Beiqing Road
Beijing
China
Email: zhangli344@huawei.com
Nan Geng
Huawei
Beijing
China
Email: gengnan@huawei.com
Xiaotong Shang
Huawei Technologies
No. 156 Beiqing Road
Beijing
China
Email: shangxiaotong@huawei.com
Qiangzhou Gao
Huawei Technologies
No. 156 Beiqing Road
Beijing
China
Email: gaoqiangzhou@huawei.com
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Zhenbin Li
Huawei Technologies
No. 156 Beiqing Road
Beijing
China
Email: robinli314@163.com
Jian Ge
CAICT
52 Huayuan North Road
Beijing
China
Email: gejian@caict.ac.cn
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