activate_workflow
Activate a ServiceNow workflow to automate business processes by triggering its execution with a specified workflow ID.
Instructions
Activate a workflow in ServiceNow
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| workflow_id | Yes | Workflow ID or sys_id |
Implementation Reference
- Core handler function that executes the tool: unwraps params, authenticates, PATCHes the wf_workflow table to set active=true, returns workflow details or error.def activate_workflow( auth_manager: AuthManager, server_config: ServerConfig, params: Dict[str, Any], ) -> Dict[str, Any]: """ Activate a workflow in ServiceNow. Args: auth_manager: Authentication manager server_config: Server configuration params: Parameters for activating a workflow Returns: Dict[str, Any]: Activated workflow details """ # Unwrap parameters if needed params = _unwrap_params(params, ActivateWorkflowParams) # 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 = { "active": "true", } # 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 activated successfully", } except requests.RequestException as e: logger.error(f"Error activating workflow: {e}") return {"error": str(e)} except Exception as e: logger.error(f"Unexpected error activating workflow: {e}") return {"error": str(e)}
- Pydantic model defining input parameters: requires workflow_id (str). Used for validation in the handler.class ActivateWorkflowParams(BaseModel): """Parameters for activating a workflow.""" workflow_id: str = Field(..., description="Workflow ID or sys_id")
- src/servicenow_mcp/utils/tool_utils.py:578-584 (registration)MCP tool registration in get_tool_definitions(): maps 'activate_workflow' to its handler, schema, description, etc."activate_workflow": ( activate_workflow_tool, ActivateWorkflowParams, str, "Activate a workflow in ServiceNow", "str", # Tool returns simple message ),
- src/servicenow_mcp/tools/__init__.py:78-91 (registration)Imports and exposes activate_workflow from workflow_tools.py for use across the tools module.from servicenow_mcp.tools.workflow_tools import ( activate_workflow, add_workflow_activity, create_workflow, deactivate_workflow, delete_workflow_activity, get_workflow_activities, get_workflow_details, list_workflow_versions, list_workflows, reorder_workflow_activities, update_workflow, update_workflow_activity, )
- Helper function to normalize input params to dict, used at the start of activate_workflow.def _unwrap_params(params: Any, param_class: Type[T]) -> Dict[str, Any]: """ Unwrap parameters if they're wrapped in a Pydantic model. This helps handle cases where the parameters are passed as a model instead of a dict. """ if isinstance(params, dict): return params if isinstance(params, param_class): return params.dict(exclude_none=True) return params