AutoTuneBench is a new measurement protocol for trustworthy agent auto-tuning of LLM serving engines. It addresses four failure modes in current measurement methods, including strawman baselines, non-transferable absolute times, saturated tasks, and infrastructure defects. The protocol is frozen as code, uses test-enforced provenance, and includes a database-level validator, anti-cheat checks, and comparisons anchored to externally published results.