# WL Tool Our multi-chain WL tool is a powerful feature that enables community founders to create a whitelist form and easily collect users' wallets from different chains based on their answers to a custom question created by the founder. The tool is available only to founders and provides a simple, streamlined way to manage whitelist applications for NFT collections, token launches, and other community events. **Here's how it works:** 1. The community founder creates a custom question that all applicants must answer. 2. Users connect their Twitter, Discord, and wallet from the chain where the community is located. 3. After responding to the question, the user's wallet address is recorded in our system. 4. The founder can then select whitelist winners either manually or via a raffle system, depending on their preference. 5. All selected winners are exported to an Excel sheet and JSON format, making it easy to manage and track the whitelist results. 6. Finally, the selected winners are announced on Twitter, with each user tagged to celebrate their success. ![](https://201301039-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZ83QhUDeE1qDy2L9mFId%2Fuploads%2Fxk4yVyS82BywWAB39H9p%2Fimage.png?alt=media\&token=39f55f39-a8c0-4f53-a2e4-16436bb764ac) With our multi-chain WL tool, community founders can save time and effort in managing whitelist applications, allowing them to focus on creating engaging NFT collections and other exciting events. Stay tuned for more updates on how we are continuing to enhance our platform and support the growing needs of our user base. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://koalalabs.gitbook.io/whitepaper/multi-chain-tools/wl-tool.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.