AI agents call get_resource_lock to retrieve information from Linode MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about a resource lock status or metadata. It performs a query operation that does not create, modify, delete, or execute any changes to infrastructure. The read-only nature and lack of side effects place it in the Read category with low severity, as obtaining lock information poses minimal risk to system integrity.
From the tool's definition Tool name 'get_resource_lock' and description 'Get a specific resource lock' indicate a retrieval operation with no side effects. The verb 'Get' is a read operation that queries the state of an existing resource lock without modifying it.
Documented attack patterns abuse exactly the kind of access get_resource_lock 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 get_resource_lock:
{
"version": "1",
"default": "deny",
"tools": {
"get_resource_lock": {}
}
}get_resource_lock is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a specific resource lock. It is categorised as a Read tool in the Linode MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Linode MCP Server MCP server in PolicyLayer and add a rule for get_resource_lock: 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.
get_resource_lock is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_resource_lock 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 get_resource_lock. 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.
get_resource_lock 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.
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416 Linode MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.