Getting Started with Make.com AI Agent Module Tools

The AI Agent Module Tools feature in make.com lets you extend your AI agents with powerful, custom capabilities, all orchestrated inside your existing scenarios. This how-to guide walks you through enabling the feature, creating tools, and wiring them into your AI automations.

What Are AI Agent Module Tools in Make.com?

AI Agent Module Tools in make.com are reusable actions that an AI agent can call during a conversation. Instead of limiting the agent to static replies, you can give it access to dynamic operations and data.

Each tool is linked to a specific module (for example, HTTP, Google Sheets, or any other app) and can be invoked automatically by the AI via function calling.

Typical use cases include:

• Fetching real-time data (e.g., a current price or inventory count).
• Writing or updating records (e.g., adding a lead to a CRM).
• Triggering downstream workflows (e.g., sending emails or updating tickets).

How to Enable AI Agent Module Tools in Make.com

Before you can use AI Agent Module Tools in make.com, you must make sure the AI Agent Builder feature is available in your organization and scenario.

Step 1: Check Access to the Make.com AI Agent Builder

To get started:

1. Open your make.com dashboard.
2. Navigate to the scenario in which you want to use an AI agent.
3. Confirm that the AI Agent module is available in the module list. If it is not, verify that AI features are enabled for your team and region.

Availability of the AI Agent Builder and tools may depend on your plan and compliance settings.

Step 2: Add an AI Agent Module in Make.com

Once you confirm access:

1. Open the desired scenario in make.com.
2. Click the plus icon on the canvas to add a module.
3. Search for and select the AI Agent module.
4. Choose the appropriate action (such as starting a conversation or handling a message).

This AI Agent module becomes the central place where you will later attach your AI Agent Module Tools.

Creating Your First AI Agent Module Tool in Make.com

Next, you will define a tool that the agent can call. Each tool in make.com wraps a module and exposes parameters the AI can fill based on user messages.

Step 3: Open the Tools Configuration Panel

To configure tools for an AI agent:

1. Click the AI Agent module in your scenario.
2. Locate the Tools or Module Tools section in the module configuration.
3. Click the option to add or manage tools.

A list or panel appears where you can create, edit, and delete tools connected to this AI agent.

Step 4: Add a New Module Tool

To add your first tool in make.com:

1. Click Add tool or a similar button.
2. Give the tool a clear name that describes its function, such as get_customer_order_status.
3. Write a human-readable description explaining exactly what the tool does and when it should be used.

The name and description are crucial because the AI relies on them to decide when to call the tool.

Step 5: Link the Tool to a Module in Make.com

After naming the tool, you must link it to a concrete module:

1. Select the scenario module the tool should execute. For example, choose an HTTP module to call an external API or a Google Sheets module to read a row.
2. Make sure the module itself is fully configured (URL, method, authentication, sheet ID, and other parameters).

Each tool in make.com essentially acts as a wrapper around this selected module, exposing a structured interface to the AI agent.

Configuring Tool Parameters and Function Calling in Make.com

To let the AI use your Make.com tool effectively, you must define the parameters it can pass into the module and how the function call will be structured.

Step 6: Define Tool Input Parameters

Set up the inputs that the AI can send:

1. Add one or more parameters to the tool, such as customer_id, email, or product_sku.
2. For each parameter, specify:

• Name – short and descriptive.
• Type – such as string, number, or boolean.
• Description – plain language guidance for the AI about what the parameter represents.
• Required – indicate whether the tool cannot run without this value.

These parameters become part of the function schema that the AI model in make.com uses to generate valid tool calls.

Step 7: Map Parameters to Module Fields

Next, connect tool parameters to fields in the linked module:

1. Open the module configuration within the tool editor.
2. Use the mapping interface to insert parameter placeholders into module fields (for example, map customer_id to a path parameter or query string field).
3. Save your mappings.

This mapping ensures that when the AI agent in make.com calls the tool with specific parameter values, those values are passed into the module execution.

Step 8: Configure Tool Output for the AI Agent

Tool outputs allow the AI to understand and summarize results:

1. Review the output of the linked module (e.g., JSON payload, text body, or row data).
2. Identify which fields are important for the AI to see (for example, order status or account balance).
3. Optionally define a concise schema or explanation for these outputs in the tool description, so the AI understands what information it will receive.

Clear output expectations help the AI in make.com generate accurate, context-aware responses after calling the tool.

Using AI Agent Module Tools in Make.com Scenarios

Once tools are configured, you can run your scenario and watch the AI agent coordinate function calls automatically based on user requests.

Step 9: Test Your Make.com AI Agent with Tools

To validate the setup:

1. Start or simulate a conversation using the AI Agent module.
2. Ask a question that should trigger the tool (for example, What is the order status for customer 123?).
3. Observe whether the AI chooses the correct tool and function call.
4. Check the execution of the linked module and its response.

You can inspect scenario run details in make.com to confirm that parameters were sent correctly and that outputs are available to the AI.

Step 10: Refine Tool Names, Descriptions, and Parameters

If the tool is not triggered as expected or outputs are unclear, refine the configuration:

• Adjust tool names to be more specific or action-oriented.
• Improve tool descriptions with explicit instructions about when the AI should use the tool.
• Clarify parameter descriptions to avoid ambiguity.
• Verify that required parameters match realistic user inputs.

Iterative refinement helps the AI agent in make.com make better decisions about when and how to call your tools.

Best Practices for AI Agent Module Tools in Make.com

To make your automations more reliable and secure, follow these recommendations when working with tools in make.com.

Design Tools Around Clear Single Purposes

Each AI Agent Module Tool should handle a single logical job, such as:

• Get the status of an existing resource.
• Create a new record.
• Update a specific field.

Single-purpose tools are easier for the AI to understand and combine during complex conversations.

Limit Sensitive Operations in Make.com Tools

When exposing tools to an AI agent:

• Avoid unrestricted delete or mass update operations.
• Use parameters and validation to constrain actions to safe scopes.
• Document in the tool description exactly when destructive actions are appropriate.

This helps reduce the risk of accidental or overly broad actions initiated through AI-driven function calls in make.com.

Document Your Tools for Maintenance

As your library of AI Agent Module Tools grows in make.com:

• Maintain a list of tools, their purposes, and related modules.
• Record parameter definitions and any input constraints.
• Track dependencies on external APIs or data sources.

Good documentation makes it easier to update your tools when APIs change or new use cases appear.

Where to Learn More About Make.com AI Module Tools

For deeper technical details and up-to-date screenshots, review the official documentation about AI Agent Module Tools on the make.com help center. You can also explore advanced automation strategies and consulting resources at Consultevo to design scalable AI-driven workflows.

By following the steps in this guide and iteratively refining your configuration, you can turn your scenarios in make.com into intelligent, tool-aware agents that act on real data and deliver more helpful, automated outcomes.