## Available Tools and Operations

Databox MCP exposes a set of **tools** (API methods) that the AI or client can invoke to perform various actions. These tools cover everything from data ingestion, querying, to management of datasets. They give your AI assistant **full programmatic control over your Databox environment**. Below is a list of the key tools available and what they do:

| Tool Name  | Description |
|  --- | --- |
| `ingest_data` | Ingests records into a Databox dataset, creating or updating it automatically. |
| `ask_genie` | Runs AI-powered analysis on a dataset, translating natural questions into structured queries to produce insights. |
| `create_dataset` | Creates a new dataset in Databox with a defined or auto-inferred schema. |
| `create_data_source` | Creates a new data source entry to organize datasets within Databox. |
| `list_accounts` | Lists all Databox accounts accessible with the current credentials. |
| `list_data_sources` | Retrieves all data sources available in the current account. |
| `list_data_source_datasets` | Lists all datasets contained within a specified data source. |
| `get_dataset_ingestions` | Shows ingestion history for a dataset to verify when data was last added. |
| `delete_dataset` | Deletes a specified dataset from Databox. |
| `delete_data_source` | Deletes a data source along with all datasets it contains. |


**Note:** Additional tools may be added over time (for example, future versions might introduce new analysis functions). In the current release, there are **11 primary tools** as listed above, offering comprehensive control. All tool calls use the MCP's JSON-RPC protocol — usually, as a developer you won't call these directly, but the AI agent will use them under the hood to fulfill your requests.