> For the complete documentation index, see [llms.txt](https://docs.hex-rays.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hex-rays.com/ida-actions/luminapullallmds.md). # LuminaPullAllMds ## Description Pull all metadata from the primary server. This commands retrieves metadata about the current database from Lumina. IDA will calculate checksums for all non-trivial functions in the database and send it to Lumina. This information will be used to match and retrieve metadata, which will be automatically applied. Please note that this may overwrite your changes, so taking a database snapshot and saving the database before invoking this command is a good idea. By non-trivial functions we mean: * long enough functions (>=16 bytes) * non-library functions * non-imported functions (functions with real body) ### Lumina Metadata Metadata currently consists of the following information: * function address, name, prototype * function frame layout * stack variables * user-defined sp change points * representation of instruction operands * function and instruction comments --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.hex-rays.com/ida-actions/luminapullallmds.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.