Tool Call Rendering
Render your agent's tool calls with custom UI components.
This feature (tool-rendering) hasn't been tagged in any MS Agent Harness (.NET) cell yet. Try CopilotKit's Built-in Agent, LangGraph (Python), LangGraph (TypeScript).
What is this?#
Tools are how an LLM invokes predefined, typically-deterministic functions. Tool rendering lets you decide how each of those tool calls appears in the chat. Instead of showing raw JSON, you register a React component that draws a branded card for the call (arguments, live status, and the eventual result). This is the Generative UI variant CopilotKit calls tool rendering.
Free course: See this pattern built end-to-end in Build Interactive Agents with Generative UI — a free DeepLearning.AI short course taught by CopilotKit's CEO covering the full Generative UI spectrum (Controlled, Declarative, and Open-Ended).
When should I use this?#
Render tool calls when you want to:
- Show users exactly what tools the agent is invoking and with what arguments
- Display live progress indicators while a tool executes
- Render rich, polished results once a tool completes
- Give tool-heavy agents a transparent, on-brand chat experience
Default tool rendering (zero-config)#
The simplest entry point: call useDefaultRenderTool() with no arguments.
CopilotKit registers its built-in DefaultToolCallRenderer as the *
wildcard: every tool call renders as a tidy status card (tool name, live
Running → Done pill, collapsible arguments/result) without you writing
any UI.
Without this hook the runtime has no * renderer and tool calls are
invisible; the user only sees the assistant's final text summary.
ms-agent-harness-dotnet::tool-rendering-default-catchall. Known demos are bundled from manifest demos[i]; check the cell id and framework slug.Here's what the built-in status card looks like for each tool call:
Custom catch-all#
Once you want on-brand chrome, pass a render function to
useDefaultRenderTool. It's a convenience wrapper around
useRenderTool({ name: "*", ... }): one wildcard renderer handles every
tool call, named or not:
ms-agent-harness-dotnet::tool-rendering-custom-catchall. Known demos are bundled from manifest demos[i]; check the cell id and framework slug.Here's the branded catch-all in action, where every tool call gets the same on-brand card:
Per-tool renderers#
The most expressive path is one renderer per tool name. The primary
tool-rendering cell wires two: get_weather draws a branded
WeatherCard, search_flights draws a FlightListCard. Each renderer
receives the tool's parsed arguments, a live status, and (once the agent
returns) the result:
ms-agent-harness-dotnet::tool-rendering. Known demos are bundled from manifest demos[i]; check the cell id and framework slug.The flight renderer follows the same pattern with a different component and schema:
ms-agent-harness-dotnet::tool-rendering. Known demos are bundled from manifest demos[i]; check the cell id and framework slug.The name you pass to useRenderTool must match the tool name the agent
exposes; that's how the runtime routes the call to your component.
Per-tool renderers compose with a catch-all: named renderers claim the
"interesting" tools and a wildcard handles everything else. In the primary
cell, the same CustomCatchallRenderer from above catches get_stock_price
and roll_dice:
ms-agent-harness-dotnet::tool-rendering. Known demos are bundled from manifest demos[i]; check the cell id and framework slug.The backend tool definition#
The frontend renderer only sees what the agent sends down. Here's the
matching Python definition for get_weather, a standard LangChain tool,
no CopilotKit-specific plumbing required:
ms-agent-harness-dotnet::tool-rendering. Known demos are bundled from manifest demos[i]; check the cell id and framework slug.