AI agents use assign_instances to create or update resources in Linode MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Linode MCP Server environment.
This tool modifies instance properties by reassigning them to different placement groups, which is a state change operation. It is reversible (instances can be reassigned to other groups or removed), so it does not qualify as Destructive.
From the tool's definition Tool name 'assign_instances' with description 'Assign Linode instances to a placement group' indicates modification of instance configuration/placement settings. This is a reversible configuration change that modifies resource state without deletion.
Documented attack patterns abuse exactly the kind of access assign_instances gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Linode MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for assign_instances:
{
"version": "1",
"default": "deny",
"tools": {
"assign_instances": {
"limits": [
{
"counter": "assign_instances_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}assign_instances stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Assign Linode instances to a placement group. It is categorised as a Write tool in the Linode MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Linode MCP Server MCP server in PolicyLayer and add a rule for assign_instances: 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.
assign_instances is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the assign_instances 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 assign_instances. 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.
assign_instances 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.
Start from Linode MCP Server, 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.
416 Linode MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.