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JLKmach

ServiceNow MCP Server

by JLKmach

add_workflow_activity

Add a new activity to a ServiceNow workflow by specifying its type, name, and workflow version ID. This tool enables workflow automation by inserting approval, task, or notification steps into existing workflows.

Instructions

Add a new activity to a workflow in ServiceNow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflow_version_idYesWorkflow version ID
nameYesName of the activity
descriptionNoDescription of the activity
activity_typeYesType of activity (e.g., 'approval', 'task', 'notification')
attributesNoAdditional attributes for the activity

Implementation Reference

  • The handler function that implements the add_workflow_activity tool. It unwraps parameters using AddWorkflowActivityParams, validates inputs, prepares data, and makes a POST request to ServiceNow's wf_activity table to create the activity.
    def add_workflow_activity(
        auth_manager: AuthManager,
        server_config: ServerConfig,
        params: Dict[str, Any],
    ) -> Dict[str, Any]:
        """
        Add a new activity to a workflow.
        
        Args:
            auth_manager: Authentication manager
            server_config: Server configuration
            params: Parameters for adding a workflow activity
            
        Returns:
            Dict[str, Any]: Added workflow activity details
        """
        # Unwrap parameters if needed
        params = _unwrap_params(params, AddWorkflowActivityParams)
        
        # 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)}
        
        # Validate required parameters
        workflow_version_id = params.get("workflow_version_id")
        if not workflow_version_id:
            return {"error": "Workflow version ID is required"}
        
        activity_name = params.get("name")
        if not activity_name:
            return {"error": "Activity name is required"}
        
        # Prepare data for the API request
        data = {
            "workflow_version": workflow_version_id,
            "name": activity_name,
        }
        
        if params.get("description"):
            data["description"] = params["description"]
        
        if params.get("activity_type"):
            data["activity_type"] = params["activity_type"]
        
        if params.get("attributes"):
            # Add any additional attributes
            data.update(params["attributes"])
        
        # Make the API request
        try:
            headers = auth_manager.get_headers()
            url = f"{server_config.instance_url}/api/now/table/wf_activity"
            
            response = requests.post(url, headers=headers, json=data)
            response.raise_for_status()
            
            result = response.json()
            return {
                "activity": result.get("result", {}),
                "message": "Workflow activity added successfully",
            }
        except requests.RequestException as e:
            logger.error(f"Error adding workflow activity: {e}")
            return {"error": str(e)}
        except Exception as e:
            logger.error(f"Unexpected error adding workflow activity: {e}")
            return {"error": str(e)}
  • Pydantic BaseModel defining the input parameters for the add_workflow_activity tool, including workflow_version_id, name, description, activity_type, and attributes.
    class AddWorkflowActivityParams(BaseModel):
        """Parameters for adding an activity to a workflow."""
        
        workflow_version_id: str = Field(..., description="Workflow version ID")
        name: str = Field(..., description="Name of the activity")
        description: Optional[str] = Field(None, description="Description of the activity")
        activity_type: str = Field(..., description="Type of activity (e.g., 'approval', 'task', 'notification')")
        attributes: Optional[Dict[str, Any]] = Field(None, description="Additional attributes for the activity")
  • Registration of the add_workflow_activity tool in the central tool_definitions dictionary, mapping the aliased function, params model, description, and serialization method.
    "add_workflow_activity": (
        add_workflow_activity_tool,
        AddWorkflowActivityParams,
        str,  # Expects JSON string
        "Add a new activity to a workflow in ServiceNow",
        "json_dict",  # Tool returns Pydantic model
    ),
  • Import of add_workflow_activity from workflow_tools.py into the tools package __init__.py, exposing it for use.
    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 to unwrap and validate parameters using the Pydantic model.
    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
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Add' implies a write/mutation operation, the description doesn't address permissions required, whether this is a destructive operation, what happens on success/failure, or any rate limits. It provides minimal behavioral context beyond the basic action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a straightforward tool and front-loads the essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after adding the activity, what the response looks like, error conditions, or any behavioral nuances. The description provides only the most basic context despite the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with all 5 parameters well-documented in the schema itself. The description adds no additional parameter semantics beyond what's already in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Add a new activity') and target resource ('to a workflow in ServiceNow'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from sibling tools like 'create_workflow' or 'update_workflow_activity', which are related but different operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites (e.g., needing an existing workflow version), exclusions, or how this differs from sibling tools like 'create_workflow' or 'update_workflow_activity'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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