analyze_user_permissions
AI agents call analyze_user_permissions to retrieve information from Vultr MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The verb 'analyze' combined with 'permissions' suggests querying or auditing user access rights without making changes. Analysis tools typically retrieve and examine data. However, the empty description reduces confidence. The sibling tool pattern (analyze_dns_records, analyze_database_performance, analyze_costs) on this server all appear to be Read-category inspection tools, supporting this classification.
From the tool's definition Tool name 'analyze_user_permissions' indicates inspection/analysis of permissions; no modifying verbs present. Description is empty, limiting definitive assessment.
Documented attack patterns abuse exactly the kind of access analyze_user_permissions gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vultr MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_user_permissions:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_user_permissions": {}
}
}analyze_user_permissions is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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analyze_user_permissions. It is categorised as a Read tool in the Vultr MCP MCP Server, which means it retrieves data without modifying state.
Register the Vultr MCP server in PolicyLayer and add a rule for analyze_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 Vultr MCP. Nothing to install.
analyze_user_permissions 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 analyze_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.
Set action: deny in the PolicyLayer policy for analyze_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.
analyze_user_permissions is provided by the Vultr MCP server (rsp2k/mcp-vultr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Vultr MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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284 Vultr MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.