Skip to main content

Tools

The Tools page consolidates all tool-related settings: Built-in Tools, MCP Servers, and Custom Tools (API endpoints).

Built-in Tools​

BrowseWiz gives AI models tools, which can help automate tasks. Currently supported built-in tools/toolsets are:

  • Browser Use Agent - AI agent that can navigate, click, fill forms, and extract content from web pages
  • Google Spreadsheet toolset - allows LLM to note information in a structured way
  • Google Calendar toolset - allows the LLM to fully manage a calendar: from simple event creation and rescheduling multiple events, to planning and optimizing the schedule for several weeks based on guidelines

Browser Use Agent​

The Browser Use Agent is an AI agent that can interact with web pages on your behalf. It can read page content, click elements, fill in forms, and extract structured information.

For full details, see the dedicated Browser Use Agent documentation.

Google Spreadsheet toolset​

Allows AI to create and manage spreadsheets with specified columns. It is useful to note structured data from visited websites:

  • leads (conference participants, LinkedIn profiles, organizations)
  • products
  • job postings
  • interesting places
  • reviews
  • interesting events
  • posts or whole articles

Example usage scenarios​

Lead generation specialist​

Searching an online database of companies/organizations - set BrowseWiz context to active tab, run "add lead" prompt.

Recruiter/Talent sourcer​

Searching profiles on LinkedIn - sets BrowseWiz context to active tab and runs "add candidate profile with note…".

Market researcher​

Looking for competition products and listing all his findings in a spreadsheet with all the details and parameters in columns.

caution

The Google Spreadsheet toolset only works with spreadsheets it creates. It cannot access or manage your existing Google Sheets spreadsheets.

Google Calendar toolset​

Allows the AI to fully manage a calendar: from simple event creation and rescheduling, to planning and optimizing the schedule for several weeks based on your guidelines. Supports recurring events, attendees, notifications, and scheduling preferences.

For full details, see the dedicated Google Calendar toolset documentation.

caution

The Google Calendar toolset only works with events it creates. It cannot access or manage events from your existing Google Calendars.

MCP Servers​

Provide MCP Server URL and add it. BrowseWiz will establish Streamable HTTP or fall back to SSE connection depending on server-side support. After adding the server, tools will be synchronized in BrowseWiz and ready to use by LLM models.

info

In case MCP server tools are updated, it is required to close and re-open (we always recommend Alt/Option+B) the BrowseWiz side panel. This way the new tool definitions will be fetched.

Custom Tools​

The Custom Tools section empowers your AI assistant by connecting it to external services through APIs and Webhooks. This powerful integration capability lets you extend the AI's functionality beyond conversation.

Adding a Tool​

To add a new tool, provide:

  • Endpoint URL: The accessible API endpoint for the tool. An HTTP POST request will be sent here with a JSON object matching your JSON Schema.
  • HTTP Method: The HTTP method to use (GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS).
  • JSON Schema: The structure outlining how to interact with the tool: what data should be sent in request body (properties) and what should the values contain. Example:
{
  "name": "dummyName",
  "description": "Replace this placeholder description.",
  "parameters": {
    "type": "object",
    "properties": {
      "dummy_property": {
        "type": "string",
        "description": "Replace this property with your own."
      }
    }
  }
}
  • Headers (optional): Additional HTTP headers for authentication or configuration. Mark headers as "secret" to store them securely, with the input field displayed as a password field.

These tools enable your AI to perform actions like:

  • Fetching real-time data
  • Interacting with external services
  • Processing specific requests through custom APIs

Note: Make sure you have the necessary API credentials and permissions before adding a tool.

⚠️ Important: Exercise caution when adding APIs that can modify data or perform actions. The AI will make autonomous decisions about when to call these APIs based on context, and while it tries to make appropriate choices, it may not always interpret the requirements correctly. Consider using read-only endpoints or adding validation layers where possible.