examples/v2/docs/reference/frontend-tool.mdx
FrontendTool is a cross-platform type that defines tools (functions) that AI agents can invoke in your frontend
application. These tools enable agents to interact the user, retrieve data, perform actions, and integrate with your
application's functionality.
A FrontendTool represents a capability you expose to AI agents, allowing them to:
Frontend tools are framework-agnostic and work consistently across all frameworks through CopilotKitCore.
type FrontendToolHandlerContext = {
toolCall: ToolCall;
agent: AbstractAgent;
};
type FrontendTool<T extends Record<string, unknown> = Record<string, unknown>> =
{
name: string;
description?: string;
parameters?: z.ZodType<T>;
handler?: (
args: T,
context: FrontendToolHandlerContext,
) => Promise<unknown>;
followUp?: boolean;
agentId?: string;
};
string (required)
A unique identifier for the tool. This is the name agents will use to request this tool's execution. Avoid spaces and special characters.
{
name: "searchProducts";
}
A special wildcard tool is available with the name *. This tool will handle any unmatched tool requests.
string (optional)
A human-readable description that helps agents understand when and how to use this tool. This description is sent to the LLM to guide its decision-making.
{
name: "searchProducts",
description: "Search for products in the catalog by name, category, or price range"
}
z.ZodType<T> (optional)
A Zod schema that defines and validates the tool's input parameters. This ensures type safety and provides automatic validation of agent-provided arguments.
import { z } from "zod";
{
name: "updateUserProfile",
parameters: z.object({
firstName: z.string().optional(),
lastName: z.string().optional(),
email: z.string().email().optional(),
preferences: z.object({
theme: z.enum(["light", "dark"]).optional(),
notifications: z.boolean().optional()
}).optional()
})
}
(args: T, context: FrontendToolHandlerContext) => Promise<unknown> (optional)
The async function that executes when the agent invokes this tool. It receives the validated arguments and a context
object containing the toolCall with metadata about the invocation.
{
name: "addToCart",
parameters: z.object({
productId: z.string(),
quantity: z.number().min(1)
}),
handler: async ({productId, quantity}) => {
// Add product to cart
const result = await cartService.addItem(productId, quantity);
// Return a string or serializable object
return {
success: true,
cartTotal: result.total,
itemCount: result.itemCount
};
}
}
boolean (optional, default: true)
Controls whether the agent should be automatically re-run after this tool completes. When true, the tool's result is
added to the conversation and the agent continues processing. Disable follow-up for final actions that complete a
workflow.
{
name: "saveDocument",
handler: async (args) => {
await documentService.save(args);
return "Document saved successfully";
},
followUp: false // Don't re-run agent after saving
}
string (optional)
Restricts this tool to a specific agent. When set, only the specified agent can invoke this tool.
{
name: "adminAction",
agentId: "admin-assistant",
handler: async (args) => {
// Only the admin-assistant agent can call this
return await performAdminAction(args);
}
}