arvan_resize_server
Change a server's plan/flavor (resize CPU & RAM).
This record as markdown: /tools/dwin-gharibi-arvancloud-mcp/arvan-resize-server.md
What arvan_resize_server does on ArvanCloud MCP Server
AI agents invoke arvan_resize_server to trigger actions in ArvanCloud MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why arvan_resize_server is rated High
Resizing a server modifies its compute resources (CPU and RAM), which typically requires stopping and restarting the instance. This is an operational action that triggers external infrastructure changes. While it can potentially be reversed by resizing back, the act of resizing itself causes disruption (downtime, service interruption) and is an execution of a platform operation rather than a simple data write.
From the tool's definition Change a server's plan/flavor (resize CPU & RAM)
Attacks that exploit this kind of access
The rule that runs arvan_resize_server safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ArvanCloud MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For arvan_resize_server, this is the rule to start with:
arvan_resize_server stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ArvanCloud MCP Server, apply this rule, and every arvan_resize_server call is checked against it from then on.
Questions about arvan_resize_server
Change a server's plan/flavor (resize CPU & RAM). It is categorised as a Execute tool in the ArvanCloud MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ArvanCloud MCP Server MCP server in PolicyLayer and add a rule for arvan_resize_server: 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 ArvanCloud MCP Server. Nothing to install.
arvan_resize_server is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the arvan_resize_server 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 arvan_resize_server. 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.
arvan_resize_server is provided by the ArvanCloud MCP Server MCP server (dwin-gharibi/arvancloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on ArvanCloud MCP Server, and thousands of servers like it.
Across the catalogue