stop_container
Hard-stop a container (immediate, like power off).
This record as markdown: /tools/gethosthewalrus-proxmox-mcp/stop-container.md
What stop_container does on Proxmox MCP Server
AI agents invoke stop_container to trigger actions in Proxmox 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 stop_container is rated High
Forcibly stopping a running container is an immediate, disruptive operation equivalent to a power-off. While it doesn't permanently delete data, it abruptly terminates all processes and can cause data corruption or service outages. It spans Execute/Destructive boundary, but since the container and its data remain intact and it can be restarted, Execute is the most appropriate category.
From the tool's definition Hard-stop a container (immediate, like power off)
Attacks that exploit this kind of access
The rule that runs stop_container safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Proxmox MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stop_container, this is the rule to start with:
stop_container 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 Proxmox MCP Server, apply this rule, and every stop_container call is checked against it from then on.
Questions about stop_container
Hard-stop a container (immediate, like power off). It is categorised as a Execute tool in the Proxmox MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Proxmox MCP Server MCP server in PolicyLayer and add a rule for stop_container: 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 Proxmox MCP Server. Nothing to install.
stop_container 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 stop_container 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 stop_container. 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.
stop_container is provided by the Proxmox MCP Server MCP server (gethosthewalrus/proxmox-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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