A new framework, BLADE, is introduced for auditing information use in large language model multi-agent systems to improve failure attribution. BLADE uses dependency probabilities to select relevant source-decision handoffs for auditing, examining whether receiving decisions use their sources faithfully. This framework achieves the best or tied-best step accuracy among eight strategies in experiments.