When to Use Duckie Assistant Agents
Use a Duckie Assistant agent when you want an AI assistant to help manage Duckie itself.| Use Duckie Assistant when | Use Autonomous when |
|---|---|
| The agent should inspect or update Duckie configuration | The agent should handle open-ended customer conversations |
| Instructions should be the main behavior source | Runbooks, workflows, guidelines, and guardrails should guide support behavior |
| The agent should work through Duckie Assistant MCP tools | The agent should combine support resources, knowledge, and tools |
| You want a lighter configuration surface | You need full support-agent configuration |
How Duckie Assistant Agents Work
When a Duckie Assistant agent runs, Duckie gives it the conversation, your agent instructions, organization overview, and enabled tools. The agent can:- Inspect Duckie runs and core objects through MCP tools
- Create, update, and delete writable core objects when its tools and API key scopes allow it
- Call enabled Duckie tools, app tools, custom tools, and MCP tools
- Use responder behavior the same way autonomous agents do
- Keep run history, run steps, and run messages for review
Create a Duckie Assistant Agent
Connect Duckie Assistant MCP
Go to Build -> Tools -> MCP Servers and connect Duckie Assistant MCP if it is not connected yet.
Write instructions
Describe what the assistant should manage, when it should ask before changing objects, and which types of changes are allowed.
Review tools
New Duckie Assistant agents start with Responder and Duckie Assistant MCP tools selected when those tools are available. Open Tools to adjust the selected tools.
Save and test
Save the agent, then test it in the playground.
Configuration Reference
Instructions
Instructions are the primary behavior definition for a Duckie Assistant agent. Use them to define:- Which Duckie objects the agent should manage
- Which updates it may make without asking first
- Which changes require confirmation
- How it should summarize changes
- Any naming, formatting, or review expectations for object edits
Model
Duckie Assistant agents have model settings in the agent editor. Use the default model for most assistants, and increase reasoning effort only when the assistant needs deeper planning or comparison across objects.Tools
Duckie Assistant agents can use enabled tools from the Tools section. Tool access can include: New Duckie Assistant agents default to Responder and Duckie Assistant MCP tools. You can edit the selected tools after creation. If all available tools are selected, Duckie stores that as all tools enabled.Duckie Assistant MCP
Duckie Assistant MCP is the first-party MCP server that exposes Duckie runs and core objects as tools. Use API key scopes to control what the MCP tools can do:| Scope | Allows |
|---|---|
api:runs:read | List and retrieve runs through MCP |
api:core:read | Describe, list, and retrieve core objects through MCP |
api:core:write | Create, update, and delete writable core objects through MCP |
Hidden Support Configuration
Duckie Assistant agents intentionally hide support-agent configuration that would make the agent treat Duckie objects as its own support resources. Hidden sections include:- Runbooks
- Workflows
- Guidelines
- Guardrails
- Resolution tracking and resolution rules
- Attributes and categories
- Knowledge tag filters
- Callable agents
Changelog Attribution
When a Duckie Assistant agent updates a core object through Duckie Assistant MCP, Duckie attributes the changelog entry to the assistant. The changelog shows the agent name as the actor display name.Best Practices
- Keep the assistant’s authority explicit in instructions.
- Grant
api:core:writeonly when the assistant should make object changes. - Keep destructive changes, such as deletes, behind explicit user requests.
- Ask the assistant to summarize changes after edits.
- Test object updates in the playground before relying on the assistant for repeated workspace maintenance.
Next Steps
MCP Servers
Connect Duckie Assistant MCP
MCP Endpoint
Review MCP tools and scopes
Agent Configuration
Deep dive into agent settings
Playground
Test the agent before use