Get API key for a user. Args: user_id: User ID to get API key for Returns: User's API key information
AI agents call get_user_apikey to retrieve information from Ludus FastMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves sensitive credential data (API keys) without side effects. It is classified as Read because it queries and returns existing data. However, severity is high because API keys are security-critical credentials that could enable unauthorized access if exposed to an attacker or compromised AI agent. The blast radius of misuse is significant despite the read-only nature.
From the tool's definition Tool name 'get_user_apikey' and description 'Get API key for a user' explicitly indicate a retrieval operation. Returns 'User's API key information' without modification.
Documented attack patterns abuse exactly the kind of access get_user_apikey gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ludus FastMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_user_apikey:
{
"version": "1",
"default": "deny",
"tools": {
"get_user_apikey": {}
}
}get_user_apikey is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get API key for a user. Args: user_id: User ID to get API key for Returns: User's API key information. It is categorised as a Read tool in the Ludus FastMCP MCP Server, which means it retrieves data without modifying state.
Register the Ludus Fast MCP server in PolicyLayer and add a rule for get_user_apikey: 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 Ludus FastMCP. Nothing to install.
get_user_apikey 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_apikey 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_apikey. 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_apikey is provided by the Ludus Fast MCP server (tjnull/ludus-fastmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 201 Ludus FastMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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201 Ludus FastMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.