AI agents call get_user_delegations 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 fetches user delegation information without modifying, deleting, or executing operations. It is a read-only query operation with no side effects. Given it accesses user account metadata, severity is low rather than lowest as it could expose organizational structure, but it remains fundamentally a data retrieval function.
From the tool's definition Tool name is 'get_user_delegations' with verb 'get', which retrieves data. Description states 'Get a user' (truncated but clearly a retrieval operation).
Documented attack patterns abuse exactly the kind of access get_user_delegations 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_user_delegations:
{
"version": "1",
"default": "deny",
"tools": {
"get_user_delegations": {}
}
}get_user_delegations 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 user\. 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_user_delegations: 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_user_delegations 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_user_delegations 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_user_delegations. 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_user_delegations 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.