False positives

False positives cost analyst time and, far more expensively, credibility.

A tool with a reputation for crying wolf gets ignored, including on the occasion it is right. That is the real damage: not the wasted hours, but the learned response of dismissing its output. Tuning is therefore not housekeeping, it is what keeps the tool capable of being believed.