Step 2. Create the AI agent's tools

this page reflects a previous version of make ai agents for the latest information, see docid\ rxryasa6852hvhkz6nhxu ai agents in need tools to do their job – these tools are modules, and mcp tools agents use information provided by you to reason about how and when to use these tools to inform the ai agent's context, sends the following information to the ai service provider system prompt t he name and description of each tool t he name and description of docid\ di1pkxe4s6 striu9spvv of the scenario used as a tool in addition to providing context, all used as tools for ai agents must be docid\ pdrftysejpiiztab7zjyh and either scheduled on demand or triggered by a custom webhook in the next sections, we will create a tool for our agent to list our shop inventory and another to order more stock if we're low the aim of the following sections is to showcase the ai agent's reasoning the example provided have been simplified to streamline their setup tool 1 scenario to list shop inventory we will provide our agent with a to list our shop inventory since we want to send data from the to the agent, we have to use docid 4gwcr4lpzuabtv9edytyr and the scenarios > return output module to create the click the create a new scenario button in your organization dashboard or in the list of if you don't have testing data ready, set up your shop data add the data store > search record module to your in the data store field, select add to create a new data store in the data store name field, fill in the name for your inventory data storage in the data structure box, click add to define a structure for your data store click save to confirm the data structure and save to create the data store go to the list of data store and open the new data store click the add button to add data to your data store update the name of the the ai agent uses the name to decide if it should run the fill in "list shop inventory" add the tools > text aggregator module in the source module field, keep the data store module enable the dvanced settings toggle at the bottom of the module settings in the row separator field, select new row in the text field, map the name and quantity fields from your data store add the scenarios > return output module click add scenario outputs to set outputs for the return data module in the scenario outputs tab, define the output structure and fill in the description of each item in the output in the module settings, map the text variable to the inventory field confirm module settings with save set scheduling set the scheduling to on demand the agent will run the for you when needed confirm the scheduling with save activate the save your add description for the agent go to the diagram tab click options > edit description add description to the the ai agent uses the name and description to decide if it should run the scenario fill in "lists the shop inventory " click save you have created the for your agent to list the shop inventory we will make the available to your agent in the following sections tool 2 scenario to order more stock we will provide the agent with another tool a to order more items for our shop inventory the will receive order information from the agent with inputs for our testing purposes, the will just send messages to a selected chat to create the click the create a new scenario button in your organization dashboard or in the list of in scenario inputs and outputs in the scenario inputs tab, set the inputs structure and description add the slack > create a message module set up the create a message module in the connection selection box, select your connection if you don't have a connection, click the add button to create it select the channel where you want to receive the messages about new orders created by the agent in the module settings, use the scenario input in the text field for example update the name of the the ai agent uses the name to decide if it should run the fill in "create buy stock order " set scheduling set the scheduling to on demand the agent will run the for you when needed confirm the scheduling with save activate the save your add description for the agent go to the diagram tab click options > edit description add description to the the ai agent uses the name and description to decide if it should run the fill in "creates orders to refill the shop inventory " click save you have created the for your agent to create orders to refill the shop inventory we will make the available to your agent in following sections