get_paragraph_text_from_document
Extract text from a specified paragraph in a Word document by providing the filename and paragraph index for precise content retrieval and management.
Instructions
Get text from a specific paragraph in a Word document.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| filename | Yes | ||
| paragraph_index | Yes |
Implementation Reference
- Primary handler function implementing the tool logic: validates inputs, ensures file extension, loads via helper, serializes to JSON.
async def get_paragraph_text_from_document(filename: str, paragraph_index: int) -> str: """Get text from a specific paragraph in a Word document. Args: filename: Path to the Word document paragraph_index: Index of the paragraph to retrieve (0-based) """ filename = ensure_docx_extension(filename) if not os.path.exists(filename): return f"Document {filename} does not exist" if paragraph_index < 0: return "Invalid parameter: paragraph_index must be a non-negative integer" try: result = get_paragraph_text(filename, paragraph_index) return json.dumps(result, indent=2) except Exception as e: return f"Failed to get paragraph text: {str(e)}" - word_document_server/main.py:805-808 (registration)Tool registration using FastMCP @mcp.tool() decorator. Defines the tool endpoint with type hints and docstring for schema, delegates to implementation.
async def get_paragraph_text_from_document(filename: str, paragraph_index: int): """Get text from a specific paragraph in a Word document.""" return await extended_document_tools.get_paragraph_text_from_document(filename, paragraph_index) - Supporting utility that loads the Document object using python-docx, extracts paragraph by index, includes metadata like style and heading status, returns structured dict.
def get_paragraph_text(doc_path: str, paragraph_index: int) -> Dict[str, Any]: """ Get text from a specific paragraph in a Word document. Args: doc_path: Path to the Word document paragraph_index: Index of the paragraph to extract (0-based) Returns: Dictionary with paragraph text and metadata """ import os if not os.path.exists(doc_path): return {"error": f"Document {doc_path} does not exist"} try: doc = Document(doc_path) # Check if paragraph index is valid if paragraph_index < 0 or paragraph_index >= len(doc.paragraphs): return {"error": f"Invalid paragraph index: {paragraph_index}. Document has {len(doc.paragraphs)} paragraphs."} paragraph = doc.paragraphs[paragraph_index] return { "index": paragraph_index, "text": paragraph.text, "style": paragraph.style.name if paragraph.style else "Normal", "is_heading": paragraph.style.name.startswith("Heading") if paragraph.style else False } except Exception as e: return {"error": f"Failed to get paragraph text: {str(e)}"}