Get available permission levels for a Databricks object type with parameter: object_type (required)
AI agents call get_permission_levels to retrieve information from Databricks Permissions MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves metadata about available permission levels in Databricks. It does not modify, delete, or execute any operations. The 'get' prefix and 'available permission levels' phrasing confirm it is a read operation. Even in the context of a permissions management server, this specific tool performs no mutations or destructive actions.
From the tool's definition Tool name is 'get_permission_levels' and description states it retrieves 'available permission levels for a Databricks object type' — a read-only query operation with no side effects.
Attacks that exploit this kind of access
Get available permission levels for a Databricks object type with parameter: object_type (required). It is categorised as a Read tool in the Databricks Permissions MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Databricks Permissions MCP Server MCP server in PolicyLayer and add a rule for get_permission_levels: 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 Permissions MCP Server. Nothing to install.
get_permission_levels 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 get_permission_levels 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 get_permission_levels. 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.
get_permission_levels is provided by the Databricks Permissions MCP Server MCP server (justtryai/databricks-permissions-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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