The MCP server defines only a single tool (extract_pdf_tables) with extremely limited documentation. The tool has a valid name starting with a verb (extract_), a basic input schema with one string parameter, but critically lacks comprehensive descriptions, parameter documentation, output schema specification, and error handling. The implementation is essentially a stub, client.py contains only a mock that returns hardcoded data, not a real PDF extraction implementation. No MCP protocol boilerplate is visible; the server appears to be incomplete or a skeleton project.

• Expand tool description to 100 - 200 characters explaining: (1) What it does: 'Extracts structured table data from PDF documents by detecting table layouts and parsing cell contents.' (2) When to use it: 'Use this to recover tabular data (e.g., financial reports, schedules) from unstructured PDFs.' (3) Output format: 'Returns a list of tables, each a list of rows, where each row is a list of cell values.'
• Add a detailed description to the pdf_name parameter: 'Name or path of the PDF file to extract tables from. Can be a local file path (e.g., "quarterly_report.pdf") or a URL. File must be a valid PDF with at least one table. Max file size: 50 MB.'
• Document the output schema explicitly. Example: '{"extracted_tables": [{"page_num": 1, "rows": [["Header1", "Header2"], ["Value1", "Value2"]], "table_index": 0}], "total_tables": 1, "processing_time_ms": 250}'
• Add error handling documentation: 'Returns an error if the file is not found, is not a valid PDF, is corrupted, or contains no tables. Error response includes a recovery hint (e.g., "File not found. Check the filename and try again.").'
• Implement actual PDF parsing logic using a library like PyPDF2, pdfplumber, or camelot. Replace the hardcoded mock data with real extraction.
• Add parameter constraints: specify if pdf_name must be local or can be a URL, what the max file size is, whether batch processing is supported.
• Implement the server using a proper MCP framework (e.g., mcp-python) with SSE or HTTP transport, tool registration via capabilities, and JSON-RPC 2.0 request/response handling.