databricks_genie_get_message_query_result
A read tool on the Databricks MCP server.
This record as markdown: /tools/io-github-pramodbhatofficial-databricks-sdk-mcp/databricks-genie-get-message-query-result.md
What databricks_genie_get_message_query_result does on Databricks MCP Server
AI agents call databricks_genie_get_message_query_result to retrieve information from Databricks MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why databricks_genie_get_message_query_result is rated Low
The 'get' verb and 'query_result' component suggest this tool retrieves data from a previous query or message in Databricks Genie (an AI assistant feature). With no description provided, this appears to be a Read operation that queries or fetches results. Severity is medium because accessing query results could expose sensitive data depending on permissions and data classifications within Databricks.
From the tool's definition Tool name contains 'get_message_query_result', with 'get' indicating a retrieval operation. Description is empty, limiting certainty.
Attacks that exploit this kind of access
The rule that runs databricks_genie_get_message_query_result safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Databricks MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For databricks_genie_get_message_query_result, this is the rule to start with:
databricks_genie_get_message_query_result is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Databricks MCP Server, apply this rule, and every databricks_genie_get_message_query_result call is checked against it from then on.
Questions about databricks_genie_get_message_query_result
databricks_genie_get_message_query_result is a read tool on the Databricks MCP Server MCP server. It is categorised as a Read tool in the Databricks MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for databricks_genie_get_message_query_result: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Databricks MCP Server. Nothing to install.
databricks_genie_get_message_query_result is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the databricks_genie_get_message_query_result rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for databricks_genie_get_message_query_result. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
databricks_genie_get_message_query_result is provided by the Databricks MCP Server MCP server (pypi:databricks-sdk-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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