Create a Client Tool
Scaffold an AtlasTool named $ARGUMENTS. If the app has no approved in-app useAtlasChat, implement a Fusion action via integrate-fusion-agent instead.
Prerequisite: vendored src/atlas-agent/ and @sinclair/typebox from integrate-atlas-chat.
Background
Client tools let the Atlas Agent invoke browser-side logic — charts, local state, UI panels, navigation. The agent decides when to call; the app executes and returns a result.
- Agent responds with a
clientToolaction - TypeBox validates the arguments
execute()runs in the browser and returns{ output, details }output(string) is sent back to the agentdetailsis available onmessage.toolCallsfor the UI to render
Step 1 — Understand the codebase
Before writing anything, read:
- The file where
useAtlasChatis called (oftensrc/App.tsxor a chat hook) to find wheretoolsis passed — imports are typically from./atlas-agent/reactafterintegrate-atlas-chat - Any existing tool definitions to match the file/naming conventions
Step 2 — Define the tool
Use Type from @sinclair/typebox for the parameters schema (compile-time types + runtime validation).
import { Type } from "@sinclair/typebox";
import type { AtlasTool } from "./atlas-agent/types";
export const myTool: AtlasTool = {
name: "my_tool", // snake_case — this is what the agent uses to invoke it
description:
"One sentence describing what this tool does and when the agent should call it.",
parameters: Type.Object({
exampleParam: Type.String({ description: "What this param is for" }),
optionalNum: Type.Optional(Type.Number({ description: "..." })),
}),
execute: async (args) => {
return {
output: "Plain text summary sent back to the agent",
details: {
// Any structured data you want available in the UI via message.toolCalls
},
};
},
};
Adjust the ./atlas-agent/... path if the tool file is not directly under src/ next to the atlas-agent folder (for example ../atlas-agent/types from src/tools/).
TypeBox quick reference
| Schema | Usage |
|---|---|
Type.String() |
string |
Type.Number() |
number |
Type.Boolean() |
boolean |
Type.Literal("foo") |
exact value |
Type.Union([Type.Literal("a"), Type.Literal("b")]) |
enum |
Type.Array(Type.String()) |
string[] |
Type.Object({ ... }) |
object |
Type.Optional(...) |
mark any field optional |
Always add a description on the tool and on each parameter — the agent uses those strings.
Step 3 — Wire into useAtlasChat
Find the useAtlasChat call and add the tool to the tools array:
const { messages, send, ... } = useAtlasChat({
client: isLoading ? null : sdk,
agentExternalId: AGENT_EXTERNAL_ID,
tools: [myTool], // add here
});
Step 4 — Render tool results (if needed)
If the tool returns structured details, render them in the message list.
message.toolCalls is a ToolCall[] — one entry per tool call (client-side and server-side) in call order.
{msg.toolCalls?.map((tc, i) => (
// tc.name — tool name
// tc.output — the string sent back to the agent
// tc.details — your structured data (cast to your known shape)
<MyToolOutput key={i} data={tc.details as MyToolDetails} />
))}