A multi-agent audit framework improves clinical mental health screening by decomposing reasoning into perception, retrieval, inference, and audit stages. Evaluated on the DAIC-WOZ dataset, it reduces PHQ-8 depression severity prediction error from 5.35 to 5.02 and offers interpretable, verifiable diagnostic rationales.