List service principals with parameters: page_size (optional), page_token (optional)
AI agents call list_service_principals 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 retrieves and queries a list of existing service principals without any side effects. It performs a read-only operation consistent with the Read category definition of querying data with no side effects. The pagination parameters are for controlling the size and offset of results, not for modifying data.
From the tool's definition Tool name is 'list_service_principals' and description states it 'List[s] service principals' with only optional pagination parameters (page_size, page_token). No modification, deletion, or execution capability is present.
Attacks that exploit this kind of access
List service principals with parameters: page_size (optional), page_token (optional). 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 list_service_principals: 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.
list_service_principals 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 list_service_principals 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 list_service_principals. 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.
list_service_principals 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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