get_plan_by_type_and_spec
AI agents call get_plan_by_type_and_spec 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 tool appears designed to fetch or query plan details—a read-only operation with no side effects. The 'get_' prefix and absence of descriptive text prevent certainty, but the naming pattern strongly suggests data retrieval.
From the tool's definition Tool name 'get_plan_by_type_and_spec' indicates retrieval of plan information based on query parameters (type and spec). No mutation, deletion, or execution keywords present.
Documented attack patterns abuse exactly the kind of access get_plan_by_type_and_spec 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 get_plan_by_type_and_spec:
{
"version": "1",
"default": "deny",
"tools": {
"get_plan_by_type_and_spec": {}
}
}get_plan_by_type_and_spec is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_plan_by_type_and_spec. 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 get_plan_by_type_and_spec: 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.
get_plan_by_type_and_spec 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_plan_by_type_and_spec 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_plan_by_type_and_spec. 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_plan_by_type_and_spec 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.
Free to start. No card required.
284 Vultr MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.