Skip to main content
Glama

list_workflow_versions

Retrieve and list versions of a specific workflow in ServiceNow using a defined workflow ID, with options to set limits and offsets for returned records.

Instructions

List workflow versions from ServiceNow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Implementation Reference

  • The handler function that executes the tool: queries ServiceNow API for wf_workflow_version table filtered by workflow_id, handles pagination and errors.
    def list_workflow_versions( auth_manager: AuthManager, server_config: ServerConfig, params: Dict[str, Any], ) -> Dict[str, Any]: """ List versions of a specific workflow. Args: auth_manager: Authentication manager server_config: Server configuration params: Parameters for listing workflow versions Returns: Dict[str, Any]: List of workflow versions """ # Unwrap parameters if needed params = _unwrap_params(params, ListWorkflowVersionsParams) # 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"} # Convert parameters to ServiceNow query format query_params = { "sysparm_query": f"workflow={workflow_id}", "sysparm_limit": params.get("limit", 10), "sysparm_offset": params.get("offset", 0), } # Make the API request try: headers = auth_manager.get_headers() url = f"{server_config.instance_url}/api/now/table/wf_workflow_version" response = requests.get(url, headers=headers, params=query_params) response.raise_for_status() result = response.json() return { "versions": result.get("result", []), "count": len(result.get("result", [])), "total": int(response.headers.get("X-Total-Count", 0)), "workflow_id": workflow_id, } except requests.RequestException as e: logger.error(f"Error listing workflow versions: {e}") return {"error": str(e)} except Exception as e: logger.error(f"Unexpected error listing workflow versions: {e}") return {"error": str(e)}
  • Pydantic BaseModel for input parameters validation: requires workflow_id, optional limit and offset.
    class ListWorkflowVersionsParams(BaseModel): """Parameters for listing workflow versions.""" workflow_id: str = Field(..., description="Workflow ID or sys_id") limit: Optional[int] = Field(10, description="Maximum number of records to return") offset: Optional[int] = Field(0, description="Offset to start from")
  • Tool registration entry in get_tool_definitions(): maps name to handler (aliased import), schema, return type hint, description, and JSON serialization method.
    "list_workflow_versions": ( list_workflow_versions_tool, ListWorkflowVersionsParams, str, # Expects JSON string "List workflow versions from ServiceNow", "json", # Tool returns list/dict ),
  • Helper function to normalize input params to dict, unwrapping Pydantic models if needed; used at line 317 in handler.
    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
  • Helper function to correctly order and extract AuthManager and ServerConfig from arguments, handling possible swaps; used in handler.
    def _get_auth_and_config( auth_manager_or_config: Union[AuthManager, ServerConfig], server_config_or_auth: Union[ServerConfig, AuthManager], ) -> tuple[AuthManager, ServerConfig]: """ Get the correct auth_manager and server_config objects. This function handles the case where the parameters might be swapped. Args: auth_manager_or_config: Either an AuthManager or a ServerConfig. server_config_or_auth: Either a ServerConfig or an AuthManager. Returns: tuple[AuthManager, ServerConfig]: The correct auth_manager and server_config. Raises: ValueError: If the parameters are not of the expected types. """ # Check if the parameters are in the correct order if isinstance(auth_manager_or_config, AuthManager) and isinstance(server_config_or_auth, ServerConfig): return auth_manager_or_config, server_config_or_auth # Check if the parameters are swapped if isinstance(auth_manager_or_config, ServerConfig) and isinstance(server_config_or_auth, AuthManager): return server_config_or_auth, auth_manager_or_config # If we get here, at least one of the parameters is not of the expected type if hasattr(auth_manager_or_config, "get_headers"): auth_manager = auth_manager_or_config elif hasattr(server_config_or_auth, "get_headers"): auth_manager = server_config_or_auth else: raise ValueError("Cannot find get_headers method in either auth_manager or server_config") if hasattr(auth_manager_or_config, "instance_url"): server_config = auth_manager_or_config elif hasattr(server_config_or_auth, "instance_url"): server_config = server_config_or_auth else: raise ValueError("Cannot find instance_url attribute in either auth_manager or server_config") return auth_manager, server_config

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/echelon-ai-labs/servicenow-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server