mcp_check_job_status

mcp_check_job_status

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

What mcp_check_job_status does on Databricks MCP Server

AI agents call mcp_check_job_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 mcp_check_job_status needs a policy

Status checks are informational queries that retrieve the current state of a job without side effects. This aligns with the 'Read' category (retrieves data; no side effects). Confidence is slightly reduced (0.85 rather than higher) due to the empty description, which prevents confirmation of exact behavior, but the naming convention and context strongly suggest a read-only operation.

From the tool's definition Tool name 'mcp_check_job_status' indicates a status-checking operation. The verb 'check' and noun 'status' imply querying/retrieving job state information without modification.

Questions about mcp_check_job_status

What does the mcp_check_job_status tool do? +

mcp_check_job_status. 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 mcp_check_job_status? +

Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for mcp_check_job_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 mcp_check_job_status? +

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

Can I rate-limit mcp_check_job_status? +

Yes. Add a rate_limit block to the mcp_check_job_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 mcp_check_job_status completely? +

Set action: deny in the PolicyLayer policy for mcp_check_job_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 mcp_check_job_status? +

mcp_check_job_status is provided by the Databricks MCP Server MCP server (stephenjhsu/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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