get_run_status

Get status for a job run with parameter: run_id

Server Databricks MCP Server robkisk/databricks-mcp
Category Read
Risk class Low
Parameters 00 required

What get_run_status does on Databricks MCP Server

AI agents call get_run_status to retrieve information from Databricks MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_run_status needs a policy

This tool retrieves the current status of an existing job run, which is a read-only operation with no side effects. It takes a run_id parameter and returns status information. No data is created, modified, deleted, or financial operations are involved. The blast radius if misused is minimal—an attacker could only discover the status of job runs they have access to view.

From the tool's definition Tool name 'get_run_status' and description 'Get status for a job run' indicate a query operation that retrieves status information without modifying or executing anything.

Questions about get_run_status

What does the get_run_status tool do? +

Get status for a job run with parameter: run_id. It is categorised as a Read tool in the Databricks MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_run_status? +

Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for get_run_status: 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.

What risk level is get_run_status? +

get_run_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_run_status? +

Yes. Add a rate_limit block to the get_run_status 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.

How do I block get_run_status completely? +

Set action: deny in the PolicyLayer policy for get_run_status. 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.

What MCP server provides get_run_status? +

get_run_status is provided by the Databricks MCP Server MCP server (robkisk/databricks-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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