NoSQL databases have emerged as a scalable and adaptable solution to manage large, unstructured data sets in distributed systems. However, NoSQL data stores lack robust mechanisms for assessing the impact of fine-grained access control policies on database resources in distributed environments. In this study, we introduce a refined framework for evaluating access control mechanisms in NoSQL databases, proposing enhancements to address major challenges in distributed settings. We introduce techniques to integrate node identity into access control evaluation paths, enabling context-aware analysis across distributed data partitions. We develop a dynamic approach capable of managing intricate, multi-layered resource hierarchies to allow for more flexible and scalable evaluations. Our experiments across various datasets confirm the effectiveness and efficiency of our access control evaluation framework. In addition, we propose new metrics that quantify the effects of policies on data accessibility, offering practical insights for policy refinement.