Add Real‑Time Data to Your Agent – Server Webhook Tools Explained

Unlock the power of real‑time information. This tutorial shows how to create server tools (webhooks) so your agent can fetch data from your backend. Tools let agents interact with external systems; ElevenLabs supports client tools (executed on the client) and server tools (executed server‑side). You’ll learn to configure a webhook to fetch order details, set path parameters and dynamic variables, adjust timeouts and pre‑tool speech, and add the tool to your agent. Finally, see how conversation logs reveal tool calls and how fetched data persists in the context window. New to conversational AI Agents? Get started here: Build your first agent → https://youtu.be/fnivYSh0Cqk Twilio telephony integration → https://youtu.be/1_ebl-acp6M Embed the widget → https://youtu.be/XweA70b45Ws React SDK customization → https://youtu.be/ftf-8F91bAc Chapters: 00:00 – Introduction: why LLMs need real‑time data and the difference between client and server tools. 00:30 – Creating a server webhook tool: defining the URL and description. 01:00 – Adding path parameters: capturing order IDs or other dynamic inputs. 01:40 – Configuring timeout & dynamic variables: controlling response time and injecting user data. 02:30 – Pre‑tool speech & authentication: using pre‑tool speech and optional headers. 03:10 – Adding the tool to your agent: via UI or JSON/CLI and reviewing the tool ID. 04:00 – Testing the tool: live conversation retrieving order status, items and shipping cost. 05:10 – Reviewing conversation logs: examining tool calls, parameters and returned data. 06:30 – Persisting context: how the agent uses fetched data for follow‑up questions. 07:10 – Preview of client tools & next video: controlling UI actions on the client side. Watch the rest of the series: Security & authentication → https://youtu.be/8hZ4IWL7iqw