Enterprise Agent Evals Need Partial Observability, Not Ideal Environments
Shahules786 · x · 2026-08-13
The article argues that most RL environments and tool-use benchmarks expose agents to too much information, failing to reflect the complexities of real-world enterprise deployments.
- The Gap: Current evals typically provide a full tool list, a single clean policy file, and direct tool responses showing exactly what changed, ignoring hidden side effects and business rules.
- Production Realities: In real systems, agents must discover tools, search through messy policy folders, and reason over incomplete states.
- PlanBench-XL: To address this, the PlanBench-XL benchmark drops agents into a retail environment with 1,665 tools. Agents do not see everything upfront but must retrieve the right tools as they work, closely simulating production conditions.
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