This record as markdown: /tools/takashito-linode-mcp-server/boot-instance.md
What boot_instance does on Linode MCP Server
AI agents invoke boot_instance to trigger actions in Linode 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 boot_instance is rated High
Booting a Linode instance is an external operation that starts a compute resource, consuming cloud credits and potentially triggering workloads. It is not purely a write (data modification) but an execution of an infrastructure action. Misuse could spin up instances unintentionally at cost, hence high severity.
From the tool's definition "Power on a Linode instance" — triggers an external infrastructure operation (booting a compute instance)
Attacks that exploit this kind of access
The rule that runs boot_instance safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Linode MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For boot_instance, this is the rule to start with:
boot_instance 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 Linode MCP Server, apply this rule, and every boot_instance call is checked against it from then on.
Questions about boot_instance
Power on a Linode instance. It is categorised as a Execute tool in the Linode MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Linode MCP Server MCP server in PolicyLayer and add a rule for boot_instance: 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 Linode MCP Server. Nothing to install.
boot_instance 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 boot_instance 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 boot_instance. 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.
boot_instance is provided by the Linode MCP Server MCP server (takashito/linode-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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