AI agents call get-endpoint to retrieve information from RunPod MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the empty description, the name strongly suggests this retrieves information about a RunPod endpoint. Context from sibling tools (create-endpoint, delete-endpoint) confirms the existence of endpoint management operations, positioning 'get-endpoint' as a read operation. The lack of description reduces confidence slightly, but the naming convention is unambiguous.
From the tool's definition Tool name 'get-endpoint' indicates a retrieval operation following REST API naming conventions. The 'get' prefix is standard for read-only operations that fetch endpoint data without modification.
Documented attack patterns abuse exactly the kind of access get-endpoint gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and RunPod MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get-endpoint:
{
"version": "1",
"default": "deny",
"tools": {
"get-endpoint": {}
}
}get-endpoint is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get-endpoint. It is categorised as a Read tool in the RunPod MCP Server MCP Server, which means it retrieves data without modifying state.
Register the RunPod MCP Server MCP server in PolicyLayer and add a rule for get-endpoint: 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 RunPod MCP Server. Nothing to install.
get-endpoint 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-endpoint 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-endpoint. 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-endpoint is provided by the RunPod MCP Server MCP server (runpod/runpod-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 36 RunPod MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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36 RunPod MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.