The combination of command-line agents like Claude Code or Gemini CLI with Unix-like file system tools and SemTools can effectively perform complex document searches and parsing tasks. SemTools enhances command-line agent capabilities by providing tools such as LlamaParse for converting complex formats into markdown and a search tool using static embeddings for semantic keyword searches. An informal benchmark with a dataset of 1000 ArXiv papers tested the hypothesis that these tools are sufficient for detailed document exploration. The results indicated that agents using SemTools provided more detailed and comprehensive information compared to those without, though runtime performance was slower due to the size of the dataset. The study highlighted the efficiency and potential of using CLI access for document search and retrieval, emphasizing that while Unix tools like grep are effective, the addition of SemTools can significantly enhance the accuracy and detail of search results. The findings suggest that this approach can be a powerful baseline for document search and retrieval, with ongoing improvements focused on optimizing runtime through persistent embeddings and document-level retrieval.