Tools for mobile cloud forensics are essential for automating evidence collection, preservation, and analysis across distributed mobile and cloud platforms. Research in this area focuses on developing intelligent, interoperable, and legally compliant forensic tools capable of handling diverse mobile operating systems, cloud storage services, and communication APIs. Key topics include the design of cross-platform forensic toolkits for hybrid environments, cloud API integration for remote evidence acquisition, and automation of mobile app data extraction and synchronization analysis. Other significant areas involve tool validation and benchmarking, development of lightweight forensic agents for resource-constrained devices, and the incorporation of AI-driven evidence classification and anomaly detection modules. Emerging directions also explore blockchain-enabled forensic tools for tamper-proof evidence management, privacy-preserving data acquisition techniques, and the creation of open-source forensic frameworks for transparency and reproducibility. Advancing these research areas will enhance the accuracy, efficiency, and reliability of investigations in mobile cloud ecosystems.