Telefonica This document defines a benchmarking methodology for evaluating Artificial Intelligence (AI) agents performing network operations tasks such as configuration, troubleshooting, and optimization. This document focuses on task-oriented performance metrics, including task completion success, execution efficiency, and robustness across multi-step workflows, proposing benchmarking practices towards agent- based, closed-loop network operation scenarios. The proposed methodology aims to provide a reproducible and vendor- independent framework to compare AI agent effectiveness in controlled network environments.