validate_user_permissions

Check user permission status and validate access

Server CloudStack MCP Server mozg31337/cloudstack-mcp-server
Category Read
Risk class Low
Parameters 00 required

What validate_user_permissions does on CloudStack MCP Server

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

Why validate_user_permissions needs a policy

This tool retrieves and validates existing permission data without creating, modifying, deleting, or executing operations. It is a read-only query operation that determines access levels. While the server provides destructive capabilities (as evidenced by sibling tools like 'add_host', 'add_account_to_project'), this specific tool only performs validation checks.

From the tool's definition Tool name 'validate_user_permissions' and description 'Check user permission status and validate access' indicate querying/checking operations without modification or execution of infrastructure changes.

Questions about validate_user_permissions

What does the validate_user_permissions tool do? +

Check user permission status and validate access. It is categorised as a Read tool in the CloudStack MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_user_permissions? +

Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for validate_user_permissions: 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 CloudStack MCP Server. Nothing to install.

What risk level is validate_user_permissions? +

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

Can I rate-limit validate_user_permissions? +

Yes. Add a rate_limit block to the validate_user_permissions 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 validate_user_permissions completely? +

Set action: deny in the PolicyLayer policy for validate_user_permissions. 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 validate_user_permissions? +

validate_user_permissions is provided by the CloudStack MCP Server MCP server (mozg31337/cloudstack-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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