Get random member(s) from set without removing.
AI agents call set_random_member to retrieve information from Amazon Data Processing MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool reads random members from a set but does not remove or alter them. This is a pure read operation with no side effects. Low severity as it only retrieves data.
From the tool's definition 'Get random member(s) from set without removing' — explicitly retrieves data without modification
Documented attack patterns abuse exactly the kind of access set_random_member gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Data Processing MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for set_random_member:
{
"version": "1",
"default": "deny",
"tools": {
"set_random_member": {}
}
} set_random_member is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get random member(s) from set without removing. It is categorised as a Read tool in the Amazon Data Processing MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Data Processing MCP Server MCP server in PolicyLayer and add a rule for set_random_member: 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 Amazon Data Processing MCP Server. Nothing to install.
set_random_member 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 set_random_member 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 set_random_member. 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.
set_random_member is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Data Processing 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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805 Amazon Data Processing MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.