--- sourceDocument: Brazil Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences Release : - brazil ft:locale : - en-US ft:publication_title : - Brazil Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Add tools and information # Add tools and information to an AI agent {#ariaid-title1} Release version: Brazil Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of Add tools and information to an AI agent ServiceNow enables you to enhance AI agents by adding tools and information that empower them to perform specific tasks effectively. Tools equip AI agents with necessary capabilities, while Knowledge Graphs provide contextual understanding of real-world relationships to improve AI decision-making. Additionally, supervised execution mode offers human oversight for sensitive actions, improving security and control. Show full answer Show less ## Key Features * **Tools Integration:** Tools should be designed to work together, each enabling the AI agent to accomplish discrete objectives. Detailed tool descriptions help the AI agent accurately understand each tool's function and expected outputs. * **Output Handling:** When creating tools, specify how to process outputs, especially when dealing with large datasets. Use tool descriptions or output transformation strategies to guide this process. * **Web Search Tool Note:** If using Google as a web search provider, be aware that traffic is routed globally, which might differ from your instance's data processing location and could impact compliance with data policies. * **Knowledge Graphs:** Add Knowledge Graphs to provide AI agents with relational context, such as mapping users to departments or locations, enhancing the agent's ability to apply relevant processes. * **Supervised Execution Mode:** Configure tools to run with human supervision for sensitive or critical actions. This mode minimizes risks by requiring oversight before tool execution, and can be set during tool creation in the guided setup. ## Practical Application By thoughtfully selecting and configuring tools and Knowledge Graphs, you enable AI agents to perform tasks with greater precision and contextual awareness. Using supervised execution mode ensures security and compliance when agents perform actions that require human approval. After configuring tools, save your settings to proceed with AI agent setup. Add a tool to an AI agent to enable different functionalities and help your AI agents achieve their objectives. ## Tool overview Tools provide your AI agents with the capabilities necessary to complete their tasks. When adding tools, consider how the AI agent uses them to achieve its objectives and how those tools interact with each other. Providing your AI agents with the appropriate tools help promote the robustness and quality of their performance. Some additional guidelines for adding and creating tools are the following: * Design tools to work together. Your AI agent should solve a specific, discrete task, and the tools should give the AI agent the capabilities necessary to achieve its goal. * Write detailed tool descriptions. Tool descriptions are used by the AI agent to determine a tool's function. Thorough descriptions about what the tools are and how they work give the AI agent the best chance to succeed. * Consider the outputs of tools when creating them. Use the tool description or output transformation strategy fields to describe how to process the tool outputs. For example, if you have a tool that gathers records from many tables, provide the tool with plans for how to handle the large number of records. Note: If you select Google as your web search tool provider, the web search tool leverages [Grounding with Google Search](https://cloud.google.com/vertex-ai/generative-ai/docs/grounding/grounding-with-google-search), offered under a Global Standard deployment. Because grounding isn't [data resident](https://cloud.google.com/vertex-ai/generative-ai/docs/security-controls), Google's global infrastructure routes traffic to a global datacenter for each web search request. This processing may be different than your data processing location chosen for your ServiceNow instance. Consider your organization's data policies before enabling AI agents that use Google web search tools. Once you have added the tools to your AI agent, you can select Save and continue to move to the next step in the guided setup. ## Knowledge graphs In this step, you can also add Knowledge graphs. Knowledge graphs give the AI agent information to understand the relationships between real-world entities to improve its outputs. For example, you could add a Knowledge Graph to an approval AI agent that maps users to their location, company, and department to help the AI agent understand the specific approval process to apply. ## Supervised execution mode for AI agents {#add-tool-aia__section_ugm_tbp_chc} You can minimize the potential negative impact of an AI agent not executing as expected by configuring AI agents' tools to run in supervised mode. Running in supervised mode means that the tools use human oversight when executing actions. You can use the Supervised mode to enhance security for agents with the capability to perform sensitive or critical actions. You can set the supervised execution mode when creating a tool in the AI agent guided setup. For example, choose Supervised as the Execution mode when adding a catalog item tool. For reference, see [Add a catalog item to an AI agent](https://www.servicenow.com/docs/G04foJ7MvtztcMjn8iN7oQ "Add a Service Catalog to an AI agent in AI Agent Studio so that your users can access conversational catalog items.").