discover-tools

To discover available UC functions and vector search indexes in a Databricks workspace, you can run a tool enumeration process that scans catalogs and schemas to list all accessible resources. This mapping accelerates agent development by identifying usable endpoints.

The best way to list Genie spaces and MCP servers before building an agent is to run a workspace discovery command that enumerates these custom resources. It helps you quickly map usable endpoints and data sources to inform your design decisions.

Yes, you can filter workspace resource discovery results by specific catalog and schema. The enumeration process supports options to limit results, allowing you to narrow down the search for UC tables, functions, and other tools to targeted database structures.

To generate a JSON or Markdown report of available Databricks tools, execute the discovery command with output formatting options. The tool enumerates workspace resources like UC tables and vector search indexes, saving the results into your specified format.

Yes, Databricks workspace discovery supports finding Unity Catalog tables for agent planning. The enumeration process locates UC Tables alongside vector search indexes, Genie spaces, and custom MCP servers across your catalogs to map usable data sources.

You should enumerate workspace resources before building an AI agent to accurately map usable endpoints and data sources. Discovering UC functions, tables, and vector search indexes upfront informs your design decisions and ensures the agent has the right capabilities.