Respond using Action Calling Results Agent

The Respond using Action Calling Results agent formats and narrates the outputs of external tool executions into human-readable responses. It takes raw tool call results and produces a clear explanation of what actions were performed and what the outcomes were. This agent is the standard downstream component in the action calling pipeline: Trigger → Intelligent Actions → Respond using Action Calling Results → Output.

Use Cases

  • Your workflow calls the Intelligent Actions agent and you need to present the results to a user.
  • You want to convert raw API response data into a natural language summary.
  • The user needs confirmation of actions taken on their behalf.
  • Your Intelligent Actions agent calls tools across multiple applications and you need a unified, readable summary of all results.

Inputs

InputTypeDescription
action_resultsJSONThe raw results from tool executions (typically from the Intelligent Actions agent). When the upstream agent executes multiple tools, this contains all results.
contextText(Optional) Additional context about the user's original request. Providing the original query helps the agent frame results in terms the user understands.

Outputs

OutputTypeDescription
responseTextA natural language summary of the actions taken and their results.

Configurations

ParameterDescriptionDefault
instructionsAdditional formatting or tone instructions. For example: "Summarize in bullet points", "Use a professional tone", or "Include the record ID in the confirmation."None

Building an Action Calling Pipeline

The action calling pipeline is a common workflow pattern that connects user intent to external system actions and back to a user-friendly response. The typical pipeline is:

  1. Trigger -- A chat message, ticket, or scheduled event starts the workflow.
  2. Intelligent Actions -- Interprets the request, selects the appropriate tool(s), and executes the API calls.
  3. Respond using Action Calling Results -- Reads the raw tool output and the original request, then generates a clear confirmation or summary for the user.
  4. Output -- The response is delivered via chat, ticket comment, or email.

This pipeline can be extended with additional agents upstream (e.g., Extract Entities to gather parameters) or downstream (e.g., Response Validator to quality-check the summary before sending).

How to Use This Agent

Single-tool action with confirmation:

chat_trigger -> intelligent_actions("Update customer status to Active") -> respond_using_action_calling_results -> workflow_output

Multi-tool action across systems:

chat_trigger -> intelligent_actions("Look up order in Shopify and create a return label in ShipStation") -> respond_using_action_calling_results -> workflow_output

Last updated: Jul 3, 2026