rescue_instance
Boot a Linode instance into rescue mode
This record as markdown: /tools/takashito-linode-mcp-server/rescue-instance.md
What rescue_instance does on Linode MCP Server
AI agents invoke rescue_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 rescue_instance is rated High
Booting a Linode into rescue mode is an operational action that changes the running state of a compute instance. It interrupts normal operation by rebooting the machine into a special recovery environment, which is an external operation with significant side effects (service disruption).
From the tool's definition Boot a Linode instance into rescue mode
Attacks that exploit this kind of access
The rule that runs rescue_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 rescue_instance, this is the rule to start with:
rescue_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 rescue_instance call is checked against it from then on.
Questions about rescue_instance
Boot a Linode instance into rescue mode. 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 rescue_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.
rescue_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 rescue_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 rescue_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.
rescue_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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