Connect to custom tools

Connect GitBook Assistant to any tool you can call from your app — especially support workflows

Custom tools let the GitBook Assistant inside the Docs Embed run real actions.

You can connect it to any tool your app can access. That includes your backend APIs, third-party SDKs, and internal systems.

If your app can call it, the Assistant can call it.

Common examples:

• Create or update support tickets on behalf of the user

• Hand off to support by opening a support chat with a prefilled message

  Support handoff is a great way to get started with custom tools. It’s the fastest way to unblock users.

• Trigger product actions (reset MFA, resend an invite, enable a feature flag)

• Look up account status in your backend

• Kick off workflows in tools like Jira, Linear, Slack, or Zendesk

In addition to tools you define in the Embed config, the Assistant can also use any MCP servers you set up in Settings → AI & MCP.

Where tools run

The tool’s execute function runs in the same environment as your embed integration.

That usually means it runs in the user’s browser, inside your app.

So you can:

• Call your own backend endpoints

• Call any third-party SDK already loaded in your app (for example, Intercom)

• Open modals, deep links, or in-product UI

Avoid putting secrets in client-side code — call your backend instead.

Add a tool

Define tools:

• Via window.GitBook("configure", …) for the script tag implementation

• Via the tools prop for the Node.js/NPM package and React components

Tools aren’t the same as embed actions.

• Use actions for buttons the user clicks.

• Use tools when you want the Assistant to choose and run code.

Tool template (resend an invite email)

Let’s look at an example:

window.GitBook("configure", {
  tools: [
    {
      // Register the tool with a name and description.
      name: "resend_invite",
      description:
        "Resend an invite email when the user can’t find it or says it expired.",

      // The input schema is data that can be accessed in the execute function.
      inputSchema: {
        type: "object",
        properties: {
          email: {
            type: "string",
            description:
              "The email address to resend the invite to. If unknown, ask the user first.",
          },
        },
        required: ["email"],
      },

      // An optional confirmation button that shows before the execute function is run.
      confirmation: { icon: "paper-plane", label: "Resend invite?" },

      // The execute function is the function that will be called when the tool is used.
      execute: async (input) => {
        const { email } = input;

        const result = await fetch("/api/invites/resend", {
          method: "POST",
          headers: { "Content-Type": "application/json" },
          body: JSON.stringify({ email }),
        }).then((r) => r.json());

        return {
          // The output is passed back to the AI.
          output: {
            recipient: email,
            status: result.status ?? "success",
          },
          // The summary is shown to the user.
          summary: {
            icon: "check",
            text: "Resent the invite email.",
          },
        };
      },
    },
  ],
});

How tools get used

Once you register tools, the Assistant can choose them automatically — based on the user’s question and your tool description.

If required fields are missing, the Assistant should ask follow-up questions.

If you add confirmation, the user must approve before the tool runs.

Tool fields

• name: Unique identifier.

• description: The “when to use this” hint for the Assistant.

• inputSchema: JSON Schema for tool inputs.

• confirmation (optional): A confirmation button shown before the tool runs.

• execute(input): Async function that runs the action.

  • Return { output, summary }.

  • output goes back to the Assistant.

  • summary shows to the user.

Confirmation

Use confirmation when you want the user to approve an action. It helps prevent surprise side effects.

confirmation accepts:

• label (required): Button text.

• icon (optional): A Font Awesome icon name.

Support workflow

Support is the highest-leverage use case for tools.

You can let the Assistant:

• Collect missing details

• Create a ticket in your system

• Open a human support channel with context prefilled

Template: open support chat with a prefilled message

Use this when you want a clean handoff to a human.

window.GitBook("configure", {
  tools: [
    {
      name: "open_support_chat",
      description:
        "Open the support chat with a prefilled message so the user can contact support fast.",
      inputSchema: {
        type: "object",
        properties: {
          message: {
            type: "string",
            description:
              "The message to send to support. If missing, ask the user first.",
          },
        },
      },
      confirmation: { icon: "circle-question", label: "Open Support Chat" },
      execute: (input) => {
        // Close GitBook Assistant
        window.GitBook('close');
     
        // Examples:
        // - Intercom: Intercom('showNewMessage', input.message);
        // - Zendesk: zE('messenger', 'open');
        
        return {
          output: {
            status: "success",
          },
          summary: { icon: 'check', text: "Forwarded to support." },
        };
      },
    },
  ],
});

Pair this with an always-visible Contact Support action in the embed sidebar. You can configure actions by following Customizing the Embed.

Next steps

• Need the full embed API surface? See API Reference.

• Want more UI controls (greeting, suggestions, actions)? See Customizing the Embed.