Cyanobacterial harmful algal blooms (CyanoHABs) are commonly assessed using various methods, including cell counts, biovolume, chlorophyll-a, phycocyanin fluorescence, image-based systems, molecular markers, and cyanotoxin measurements. While these tools have improved substantially, an implementation gap persists: during a bloom event, the most analytically precise measurement may not always be available in time to support critical decisions. This review and operational framework addresses this gap by integrating method-focused evidence from 2018-2025 with major public health guidance. It reframes cyanobacterial enumeration error as both an analytical and a decision problem. We argue that sampling design, scum separation, sample splitting, preservation, exposure-route definition, and decision windows collectively determine whether subsequent measurements can support timely and credible action. We propose an action-first, reference-calibrated framework where rapid field evidence triggers temporary precaution without claiming to be a definitive cell count. In this framework, reference microscopy and image-assisted methods support taxon-specific abundance estimates and characterize colony-related uncertainty, while toxin and genetic assays anchor public health interpretation when biomass indicators and toxin risk diverge. This framework does not lower evidentiary standards or replace national thresholds. Instead, it differentiates evidence standards by purpose: precaution, confirmation, revision, release, and post-event learning.