Skip to main content
Glama
javerthl

ServiceNow MCP Server

by javerthl

add_change_task

Add a task to a ServiceNow change request by specifying the change ID, task description, and optional details like assignment and dates.

Instructions

Add a task to a change request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assigned_toNoUser assigned to the task
change_idYesChange request ID or sys_id
descriptionNoDetailed description of the task
planned_end_dateNoPlanned end date (YYYY-MM-DD HH:MM:SS)
planned_start_dateNoPlanned start date (YYYY-MM-DD HH:MM:SS)
short_descriptionYesShort description of the task

Implementation Reference

  • Main implementation of the add_change_task tool handler. Handles parameter validation using AddChangeTaskParams, constructs the API request to create a change_task in ServiceNow's change_task table, and returns the result.
    def add_change_task(
        auth_manager: AuthManager,
        server_config: ServerConfig,
        params: Dict[str, Any],
    ) -> Dict[str, Any]:
        """
        Add a task to a change request in ServiceNow.
    
        Args:
            auth_manager: The authentication manager.
            server_config: The server configuration.
            params: The parameters for adding a change task.
    
        Returns:
            The created change task.
        """
        # Unwrap and validate parameters
        result = _unwrap_and_validate_params(
            params, 
            AddChangeTaskParams,
            required_fields=["change_id", "short_description"]
        )
        
        if not result["success"]:
            return result
        
        validated_params = result["params"]
        
        # Prepare the request data
        data = {
            "change_request": validated_params.change_id,
            "short_description": validated_params.short_description,
        }
        
        # Add optional fields if provided
        if validated_params.description:
            data["description"] = validated_params.description
        if validated_params.assigned_to:
            data["assigned_to"] = validated_params.assigned_to
        if validated_params.planned_start_date:
            data["planned_start_date"] = validated_params.planned_start_date
        if validated_params.planned_end_date:
            data["planned_end_date"] = validated_params.planned_end_date
        
        # Get the instance URL
        instance_url = _get_instance_url(auth_manager, server_config)
        if not instance_url:
            return {
                "success": False,
                "message": "Cannot find instance_url in either server_config or auth_manager",
            }
        
        # Get the headers
        headers = _get_headers(auth_manager, server_config)
        if not headers:
            return {
                "success": False,
                "message": "Cannot find get_headers method in either auth_manager or server_config",
            }
        
        # Add Content-Type header
        headers["Content-Type"] = "application/json"
        
        # Make the API request
        url = f"{instance_url}/api/now/table/change_task"
        
        try:
            response = requests.post(url, json=data, headers=headers)
            response.raise_for_status()
            
            result = response.json()
            
            return {
                "success": True,
                "message": "Change task added successfully",
                "change_task": result["result"],
            }
        except requests.exceptions.RequestException as e:
            logger.error(f"Error adding change task: {e}")
            return {
                "success": False,
                "message": f"Error adding change task: {str(e)}",
            }
  • Pydantic model defining the input parameters for the add_change_task tool, including required change_id and short_description, and optional fields.
    class AddChangeTaskParams(BaseModel):
        """Parameters for adding a task to a change request."""
    
        change_id: str = Field(..., description="Change request ID or sys_id")
        short_description: str = Field(..., description="Short description of the task")
        description: Optional[str] = Field(None, description="Detailed description of the task")
        assigned_to: Optional[str] = Field(None, description="User assigned to the task")
        planned_start_date: Optional[str] = Field(None, description="Planned start date (YYYY-MM-DD HH:MM:SS)")
        planned_end_date: Optional[str] = Field(None, description="Planned end date (YYYY-MM-DD HH:MM:SS)")
  • Registration of the add_change_task tool in the central tool definitions dictionary used by the MCP server. Maps the tool name to its handler (aliased import), schema, description, and serialization settings.
    "add_change_task": (
        add_change_task_tool,
        AddChangeTaskParams,
        str,  # Expects JSON string
        "Add a task to a change request",
        "json_dict",  # Tool returns Pydantic model
    ),
  • Import of add_change_task from change_tools.py into the tools package __init__.py, making it available for re-export and use in tool_utils.py.
    from servicenow_mcp.tools.change_tools import (
        add_change_task,
        approve_change,
        create_change_request,
        get_change_request_details,
        list_change_requests,
        reject_change,
        submit_change_for_approval,
        update_change_request,
    )
  • Helper function used by add_change_task (and other tools) for parameter unwrapping, required field checks, and Pydantic validation.
    def _unwrap_and_validate_params(params: Any, model_class: Type[T], required_fields: List[str] = None) -> Dict[str, Any]:
        """
        Helper function to unwrap and validate parameters.
        
        Args:
            params: The parameters to unwrap and validate.
            model_class: The Pydantic model class to validate against.
            required_fields: List of required field names.
            
        Returns:
            A tuple of (success, result) where result is either the validated parameters or an error message.
        """
        # Handle case where params might be wrapped in another dictionary
        if isinstance(params, dict) and len(params) == 1 and "params" in params and isinstance(params["params"], dict):
            logger.warning("Detected params wrapped in a 'params' key. Unwrapping...")
            params = params["params"]
        
        # Handle case where params might be a Pydantic model object
        if not isinstance(params, dict):
            try:
                # Try to convert to dict if it's a Pydantic model
                logger.warning("Params is not a dictionary. Attempting to convert...")
                params = params.dict() if hasattr(params, "dict") else dict(params)
            except Exception as e:
                logger.error(f"Failed to convert params to dictionary: {e}")
                return {
                    "success": False,
                    "message": f"Invalid parameters format. Expected a dictionary, got {type(params).__name__}",
                }
        
        # Validate required parameters are present
        if required_fields:
            for field in required_fields:
                if field not in params:
                    return {
                        "success": False,
                        "message": f"Missing required parameter '{field}'",
                    }
        
        try:
            # Validate parameters against the model
            validated_params = model_class(**params)
            return {
                "success": True,
                "params": validated_params,
            }
        except Exception as e:
            logger.error(f"Error validating parameters: {e}")
            return {
                "success": False,
                "message": f"Error validating parameters: {str(e)}",
            }

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/javerthl/servicenow-mcp'

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