DatabricksQueryTool

Description

Run SQL against Databricks workspace tables with either CLI profile or direct host/token authentication.

Installation

uv add crewai-tools[databricks-sdk]

Environment Variables

• DATABRICKS_CONFIG_PROFILE or (DATABRICKS_HOST + DATABRICKS_TOKEN)

Create a personal access token and find host details in the Databricks workspace under User Settings → Developer. Docs: https://docs.databricks.com/en/dev-tools/auth/pat.html

Example

from crewai import Agent, Task, Crew
from crewai_tools import DatabricksQueryTool

tool = DatabricksQueryTool(
    default_catalog="main", 
    default_schema="default",
)

agent = Agent(
    role="Data Analyst",
    goal="Query Databricks",
    tools=[tool],
    verbose=True,
)

task = Task(
    description="SELECT * FROM my_table LIMIT 10",
    expected_output="10 rows", 
    agent=agent,
)

crew = Crew(
    agents=[agent], 
    tasks=[task],
    verbose=True,
)
result = crew.kickoff()

print(result)

Parameters

• query (required): SQL query to execute
• catalog (optional): Override default catalog
• db_schema (optional): Override default schema
• warehouse_id (optional): Override default SQL warehouse
• row_limit (optional): Maximum rows to return (default: 1000)

Defaults on initialization

• default_catalog
• default_schema
• default_warehouse_id

Error handling & tips

• Authentication errors: verify DATABRICKS_HOST begins with https:// and token is valid.
• Permissions: ensure your SQL warehouse and schema are accessible by your token.
• Limits: long‑running queries should be avoided in agent loops; add filters/limits.