update_workflow
Modify existing ServiceNow workflows by updating their name, description, table association, activation status, or custom attributes to adapt business processes.
Instructions
Update an existing workflow in ServiceNow
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| workflow_id | Yes | Workflow ID or sys_id | |
| name | No | Name of the workflow | |
| description | No | Description of the workflow | |
| table | No | Table the workflow applies to | |
| active | No | Whether the workflow is active | |
| attributes | No | Additional attributes for the workflow |
Implementation Reference
- The main handler function that executes the tool logic: unwraps params, prepares PATCH data, sends request to ServiceNow wf_workflow table endpoint.
def update_workflow( auth_manager: AuthManager, server_config: ServerConfig, params: Dict[str, Any], ) -> Dict[str, Any]: """ Update an existing workflow in ServiceNow. Args: auth_manager: Authentication manager server_config: Server configuration params: Parameters for updating a workflow Returns: Dict[str, Any]: Updated workflow details """ # Unwrap parameters if needed params = _unwrap_params(params, UpdateWorkflowParams) # Get the correct auth_manager and server_config try: auth_manager, server_config = _get_auth_and_config(auth_manager, server_config) except ValueError as e: logger.error(f"Error getting auth and config: {e}") return {"error": str(e)} workflow_id = params.get("workflow_id") if not workflow_id: return {"error": "Workflow ID is required"} # Prepare data for the API request data = {} if params.get("name"): data["name"] = params["name"] if params.get("description") is not None: data["description"] = params["description"] if params.get("table"): data["table"] = params["table"] if params.get("active") is not None: data["active"] = str(params["active"]).lower() if params.get("attributes"): # Add any additional attributes data.update(params["attributes"]) if not data: return {"error": "No update parameters provided"} # Make the API request try: headers = auth_manager.get_headers() url = f"{server_config.instance_url}/api/now/table/wf_workflow/{workflow_id}" response = requests.patch(url, headers=headers, json=data) response.raise_for_status() result = response.json() return { "workflow": result.get("result", {}), "message": "Workflow updated successfully", } except requests.RequestException as e: logger.error(f"Error updating workflow: {e}") return {"error": str(e)} except Exception as e: logger.error(f"Unexpected error updating workflow: {e}") return {"error": str(e)} - Pydantic BaseModel defining the input schema/parameters for the update_workflow tool.
class UpdateWorkflowParams(BaseModel): """Parameters for updating a workflow.""" workflow_id: str = Field(..., description="Workflow ID or sys_id") name: Optional[str] = Field(None, description="Name of the workflow") description: Optional[str] = Field(None, description="Description of the workflow") table: Optional[str] = Field(None, description="Table the workflow applies to") active: Optional[bool] = Field(None, description="Whether the workflow is active") attributes: Optional[Dict[str, Any]] = Field(None, description="Additional attributes for the workflow") - src/servicenow_mcp/utils/tool_utils.py:525-531 (registration)Tool registration in get_tool_definitions() dict: maps 'update_workflow' to handler (aliased import), schema, return type hint, description, and serialization method.
"update_workflow": ( update_workflow_tool, UpdateWorkflowParams, str, # Expects JSON string "Update an existing workflow in ServiceNow", "json_dict", # Tool returns Pydantic model ),