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vparlapalli490

ServiceNow MCP Server

reorder_workflow_activities

Reassign the sequence of activities in a ServiceNow workflow by specifying the workflow ID and desired order of activity IDs.

Instructions

Reorder activities in a workflow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
activity_idsYesList of activity IDs in the desired order
workflow_idYesWorkflow ID or sys_id

Implementation Reference

  • The main handler function that implements the tool logic: unwraps parameters, authenticates, iterates over activity_ids, and patches each wf_activity's 'order' field sequentially (100, 200, etc.). Returns results for each update.
    def reorder_workflow_activities( auth_manager: AuthManager, server_config: ServerConfig, params: Dict[str, Any], ) -> Dict[str, Any]: """ Reorder activities in a workflow. Args: auth_manager: Authentication manager server_config: Server configuration params: Parameters for reordering workflow activities Returns: Dict[str, Any]: Result of the reordering operation """ # Unwrap parameters if needed params = _unwrap_params(params, ReorderWorkflowActivitiesParams) # 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"} activity_ids = params.get("activity_ids") if not activity_ids: return {"error": "Activity IDs are required"} # Make the API requests to update the order of each activity try: headers = auth_manager.get_headers() results = [] for i, activity_id in enumerate(activity_ids): # Calculate the new order value (100, 200, 300, etc.) new_order = (i + 1) * 100 url = f"{server_config.instance_url}/api/now/table/wf_activity/{activity_id}" data = {"order": new_order} try: response = requests.patch(url, headers=headers, json=data) response.raise_for_status() results.append({ "activity_id": activity_id, "new_order": new_order, "success": True, }) except requests.RequestException as e: logger.error(f"Error updating activity order: {e}") results.append({ "activity_id": activity_id, "error": str(e), "success": False, }) return { "message": "Activities reordered", "workflow_id": workflow_id, "results": results, } except Exception as e: logger.error(f"Unexpected error reordering workflow activities: {e}") return {"error": str(e)}
  • Pydantic BaseModel defining the input schema for the tool: requires workflow_id (str) and activity_ids (list of str).
    class ReorderWorkflowActivitiesParams(BaseModel): """Parameters for reordering workflow activities.""" workflow_id: str = Field(..., description="Workflow ID or sys_id") activity_ids: List[str] = Field(..., description="List of activity IDs in the desired order")
  • Tool registration entry in get_tool_definitions() dict: maps 'reorder_workflow_activities' to the aliased function, param model, return type str, description, and serialization 'str'.
    "reorder_workflow_activities": ( reorder_workflow_activities_tool, ReorderWorkflowActivitiesParams, str, "Reorder activities in a workflow", "str", # Tool returns simple message ),
  • Import statement in tools/__init__.py that exposes reorder_workflow_activities for use in the tools package.
    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 used by the handler (and others) to unwrap Pydantic params into dict.
    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

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