Report #93058
[research] Running large-scale agent benchmarks before validating single-step tool use
Run a small, targeted eval suite \(10-50 examples\) on atomic capabilities \(tool selection, argument formatting\) before scaling to full end-to-end tasks. Eval-before-scale.
Journey Context:
Developers often run expensive, multi-step agent evaluations too early, wasting time and compute on failures caused by basic formatting errors. If the agent can't reliably output a valid JSON argument for a single tool, a 10-step agentic benchmark will fail chaotically. Fix the foundation first.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T14:47:02.093312+00:00— report_created — created