AI agents use liara_resize_app to create or update resources in Liara MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Liara MCP Server environment.
The tool modifies application resource allocation and plan settings, which is a write operation affecting infrastructure state. It is reversible (can be resized again), so not Destructive. It impacts compute resources but doesn't constitute a financial charge itself (that would be Financial).
From the tool's definition 'Change app plan (resize resources)' modifies app configuration and resource allocation. This is a reversible state change to infrastructure, not deletion or financial transaction.
Documented attack patterns abuse exactly the kind of access liara_resize_app gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Liara MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for liara_resize_app:
{
"version": "1",
"default": "deny",
"tools": {
"liara_resize_app": {
"limits": [
{
"counter": "liara_resize_app_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}liara_resize_app 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.
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Change app plan (resize resources). It is categorised as a Write tool in the Liara MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Liara MCP Server MCP server in PolicyLayer and add a rule for liara_resize_app: 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 Liara MCP Server. Nothing to install.
liara_resize_app 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 liara_resize_app 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 liara_resize_app. 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.
liara_resize_app is provided by the Liara MCP Server MCP server (razavioo/liara-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Liara MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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108 Liara MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.