List recent MCP-managed approval decisions recorded by the gateway (approvalStrategy: mcp_managed).
AI agents call approval_list to retrieve information from LLM CLI Gateway without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries historical approval decisions from a log or registry. It has no side effects, does not execute code, does not modify data, and does not commit financial transactions. The action is purely informational (list/fetch).
From the tool's definition Tool name is 'approval_list' and description states it 'List[s] recent MCP-managed approval decisions' — a retrieval operation with no modification capability.
Documented attack patterns abuse exactly the kind of access approval_list gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and LLM CLI Gateway, and nothing reaches the server without passing your rules. This is the rule we recommend for approval_list:
{
"version": "1",
"default": "deny",
"tools": {
"approval_list": {}
}
} approval_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List recent MCP-managed approval decisions recorded by the gateway (approvalStrategy: mcp_managed). It is categorised as a Read tool in the LLM CLI Gateway MCP Server, which means it retrieves data without modifying state.
Register the LLM CLI Gateway MCP server in PolicyLayer and add a rule for approval_list: 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 LLM CLI Gateway. Nothing to install.
approval_list 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 approval_list 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 approval_list. 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.
approval_list is provided by the LLM CLI Gateway MCP server (llm-cli-gateway). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from LLM CLI Gateway, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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46 LLM CLI Gateway tools catalogued and risk-classified — across an index of 43,000+ MCP servers.