Databricks

Tool to retrieve SQL query execution results for a message attachment in a Genie space conversation. Use when you need to fetch query results from a Genie conversation message. Note: This endpoint is deprecated; consider using GetMessageAttachmentQueryResult instead. Returns results only when message status is EXECUTI…

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Tool to retrieve detailed information about a specific Databricks Genie space by ID. Use when you need to get configuration details, metadata, and optionally the serialized space content for backup or promotion across workspaces. Requires at least CAN EDIT permission to retrieve the serialized space content.

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Tool to retrieve all existing conversation threads within a Genie space. Use when you need to view conversations in a Genie space, either for the current user or all users if you have CAN MANAGE permission. Supports pagination for spaces with many conversations.

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Tool to retrieve all messages from a specific conversation thread in a Genie space. Use when you need to view the complete message history of a conversation including user queries and AI responses. Supports pagination for conversations with many messages.

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Tool to retrieve all Genie spaces in the workspace that the authenticated user has access to. Use when you need to list available Genie spaces, their metadata, and warehouse associations. Supports pagination for workspaces with many spaces.

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Tool to send feedback for a Genie message. Use when you need to provide positive, negative, or no feedback rating for AI-generated messages in Genie conversations. Positive feedback on responses that join tables or use SQL expressions can prompt Genie to suggest new SQL snippets to space managers for review and approv…

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Tool to start a new Genie conversation in a Databricks space for natural language data queries. Use when you need to ask questions about data using natural language. The message processes asynchronously, so initial status will be IN_PROGRESS. Poll the message status to get the completed response with query results.

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Tool to move a Genie space to trash instead of permanently deleting it. Use when you need to remove a Genie space while retaining recovery options. Trashed spaces follow standard Databricks trash behavior with 30-day retention before permanent deletion. Requires CAN MANAGE permission on the space.

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Tool to update an existing Genie space configuration. Use when you need to modify a Genie space's title, description, warehouse assignment, or complete serialized configuration. Supports partial updates (only provide fields you want to change) or full replacement via serialized_space. Useful for CI/CD pipelines, versi…

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Tool to create a new Lakeview dashboard in Databricks. Use when you need to create AI/BI dashboards for data visualization and analytics. Both display_name and serialized_dashboard are required. To create a blank dashboard, provide a minimal serialized_dashboard with an empty pages array like '{"pages":[{"name":"page_…

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Tool to delete a dashboard schedule from a Lakeview dashboard. Use when you need to remove scheduled refreshes or updates for a dashboard. Provide the etag parameter to ensure the schedule hasn't been modified since last retrieval (optimistic concurrency control).

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Retrieves authorization information needed to generate a downscoped OAuth token for embedding a published Lakeview dashboard for external viewers. This endpoint returns the custom claims, scopes, and authorization details required to create a secure, limited-access OAuth token that allows external users to view a spec…

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Tool to retrieve details about a draft AI/BI Lakeview dashboard from the workspace. Use when you need to get comprehensive information about a dashboard including metadata, configuration, state, and serialized dashboard content.

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Tool to retrieve the current published version of a Lakeview dashboard. Use when you need to get information about the published dashboard including its display name, embedded credentials status, warehouse configuration, and last revision timestamp.

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Tool to retrieve a specific schedule for a Databricks AI/BI Lakeview dashboard. Use when you need to get schedule details including cron expressions, pause status, warehouse configuration, and subscription information. Each dashboard can have up to 10 schedules, with each schedule supporting up to 100 subscriptions.

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Tool to publish an AI/BI Lakeview dashboard making it accessible via public link. Use when you need to publish a draft dashboard with embedded credentials and assign a warehouse for query execution. After successful publication, the dashboard becomes accessible at https:// /dashboardsv3/ /published.

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Tool to move a Lakeview dashboard to trash instead of permanently deleting it. Use when you need to remove a dashboard while retaining recovery options. Trashed dashboards can be recovered within 30 days before permanent deletion.

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Tool to unpublish an AI/BI Lakeview dashboard while preserving its draft version. Use when you need to remove the published version of a dashboard. The draft version remains available and can be republished later if needed.

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Tool to update a draft Lakeview dashboard configuration and metadata. Use when you need to modify dashboard properties such as display name, warehouse, location, or content. This is a partial update operation - only provided fields will be updated. The etag field can be used for optimistic concurrency control to preve…

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Tool to register a Lakebase Postgres database as a Unity Catalog catalog in Databricks. Use when you need to register a Lakebase database instance as a catalog in Unity Catalog for data governance and analytics. Requires CREATE CATALOG privilege on the metastore and access to the database instance.

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Creates a new Lakebase Provisioned database instance in Databricks. Lakebase is Databricks' serverless PostgreSQL-compatible database service for OLTP workloads. Use this action to provision a new database instance with specified compute capacity and configuration. The creator automatically receives database owner pri…

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Delete a Databricks Lakebase Postgres database instance. Permanently removes the database instance and all associated data. Prerequisites: The instance should be stopped before deletion, and you must have CAN_MANAGE permissions on the instance. Warning: This operation cannot be undone. All data will be permanently del…

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Tool to delete a synced table from Unity Catalog and stop data refreshes. Use when you need to deregister a synced table connection between Unity Catalog and a database instance. Note: The underlying Postgres table remains and must be manually dropped to free space.

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Tool to find a database instance by its unique identifier (UID). Use when you need to retrieve instance details using the immutable UUID instead of the instance name.

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Tool to generate OAuth token for database instance authentication. Use when you need to authenticate to Databricks database instances. The generated token is workspace-scoped and expires after one hour, though open connections remain active past expiration.

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Retrieves detailed information about a Databricks Lakebase (managed PostgreSQL) database instance by name. Returns comprehensive instance details including: - Current state (AVAILABLE, STARTING, STOPPED, UPDATING, DELETING, FAILING_OVER) - Capacity/SKU configuration (CU_1, CU_2, CU_4, CU_8) - Connection endpoints (rea…

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Tool to create a data quality monitor for a Unity Catalog Delta table. Use when you need to set up monitoring for table quality, track data drift, or monitor ML model inference logs. Supports snapshot, time series, and inference log monitoring types. Only one monitor can be created per table.

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Tool to list the contents of a directory or get details of a file in DBFS. Use when you need to browse DBFS directories or check file details. Note: Recommended for directories with less than 10,000 files due to ~60 second timeout limitation. Throws RESOURCE_DOES_NOT_EXIST error if path doesn't exist.

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Tool to terminate a Databricks Spark cluster asynchronously. Use when you need to stop and remove a cluster. The cluster is terminated asynchronously and removed after completion. Cluster configuration is retained for 30 days after termination.

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Tool to edit an existing Databricks cluster configuration. Use when you need to modify cluster settings such as size, Spark version, node types, or cloud-specific attributes. The cluster must be in RUNNING or TERMINATED state. If updated while RUNNING, it will restart to apply changes.

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