What is Your Agent's GPA? A Framework for Evaluating Agent Goal-Plan-Action Alignment.

We introduce the Agent GPA (Goal-Plan-Action) framework, driven by the fundamental insight that critical agent failures emerge at the intersections of setting goals, devising plans, and executing actions. We operationalize the framework with a factorized suite of LLM judges designed to measure distinct elements of Goal-Plan-Act alignment. To make this methodology scalable and generalizable across diverse agent architectures and datasets, we use state-of-the-art automated prompt optimization techniques to systematically generate domain-specific evaluation criteria. We validate this approach across three benchmarks: a multi-agent research setting (TRAIL/GAIA), a single coding agent setting (TRAIL/SWE-bench), and a private, enterprise data-agent setting (Snowflake Intelligence). Extensive evaluation on TRAIL/GAIA demonstrates the core validity of the framework, which identifies a broad range of agent failures (95