In high-throughput verification environments, timely and accurate reporting is essential for transparency, debugging, and traceability. This paper introduces an automated PDF reporting workflow integrated within an MSV system that revolutionizes the generation of verification reports. By leveraging a combination of Perl and Python scripts, our approach dynamically gathers critical system information, simulation logs, and waveform data to produce a polished, multi-page PDF report. The process seamlessly integrates environment validation, metadata extraction via LDAP queries, and the conversion of simulation outputs into standardized PDF formats. Advanced PDF manipulation techniques—including automated page merging, image embedding, and orientation adjustments—ensured that the final report meets rigorous quality and consistency standards. The resulting framework not only minimizes manual intervention but also enhances reproducibility and traceability in test case analysis. Experimental results demonstrate the system's robustness, scalability, and potential for adoption in other verification domains, paving the way for fully automated, real-time reporting in complex design environments.