Empirical Comparison of Agent Communication Protocols for Task Orchestration
arXiv AIArchived Mar 25, 2026✓ Full text saved
arXiv:2603.22823v1 Announce Type: new Abstract: Context. Nowadays, artificial intelligence agent systems are transforming from single-tool interactions to complex multi-agent orchestrations. As a result, two competing communication protocols have emerged: a tool integration protocol that standardizes how agents invoke external tools, and an inter-agent delegation protocol that enables autonomous agents to discover and delegate tasks to one another. Despite widespread industry adoption by dozens
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✦ AI Summary· Claude Sonnet
Computer Science > Artificial Intelligence
[Submitted on 24 Mar 2026]
Empirical Comparison of Agent Communication Protocols for Task Orchestration
Ivan Dobrovolskyi
Context. Nowadays, artificial intelligence agent systems are transforming from single-tool interactions to complex multi-agent orchestrations. As a result, two competing communication protocols have emerged: a tool integration protocol that standardizes how agents invoke external tools, and an inter-agent delegation protocol that enables autonomous agents to discover and delegate tasks to one another. Despite widespread industry adoption by dozens of enterprise partners, no empirical comparison of these protocols exists in the literature. Objective. The goal of this work is to develop the first systematic benchmark comparing tool-integration-only, multi-agent delegation, and hybrid architectures across standardized queries at three complexity levels, and to quantify the trade-offs in response time, context window consumption, monetary cost, error recovery, and implementation complexity.
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2603.22823 [cs.AI]
(or arXiv:2603.22823v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2603.22823
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From: Ivan Dobrovolskyi [view email]
[v1] Tue, 24 Mar 2026 05:50:58 UTC (1,049 KB)
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