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• Document the output schema for all 7 tools. For example, read_csv_head should document: 'Returns { rows: array of objects, row_count: integer, columns: array of strings, file_path: string }'. This enables LLMs to understand what downstream tools they can call with the results.
• Add error handling sections to each tool description. Example for read_csv_head: 'Errors: If the file does not exist, returns FileNotFoundError with a hint to call list_csv_files first. If encoding fails, try specifying encoding=latin-1 or encoding=ascii.'
• For write_file, add idempotency guarantee or overwrite behavior. Example: 'This operation is idempotent. Repeated calls with the same path and content are safe. If content differs, the file is overwritten silently. To prevent accidental overwrites, consider using read_file first to verify current content.'
• Add limit parameters to list_csv_files and list_directory with sensible defaults (e.g., limit=20, default limit=20). Document that results are paginated and offer cursor/offset guidance for large result sets.
• Clarify filter_csv_rows matching: 'value parameter is matched case-sensitively as exact string equality. No regex or partial matching. If you need partial matches, use read_csv_head and filter client-side.' Also document the limit default of 20 in the description, not just the schema.
• For summarize_numeric_column, document failure modes: 'If the column does not exist, returns ColumnNotFoundError with available columns listed. If the column contains non-numeric data, non-numeric rows are skipped and row_count indicates how many were skipped.'