List available llama.cpp model configurations and their load status.
AI agents call list_models to retrieve information from Mcp Llama Swap without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about available models and their status without modifying, executing, or deleting anything. It is purely informational, making it a Read category risk. The blast radius is minimal—an attacker could only discover what models are available. Severity is low because listing configurations poses no operational threat.
From the tool's definition Tool name 'list_models' and description 'List available llama.cpp model configurations and their load status' indicate a query/retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_models gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Llama Swap, and nothing reaches the server without passing your rules. This is the rule we recommend for list_models:
{
"version": "1",
"default": "deny",
"tools": {
"list_models": {}
}
}list_models is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List available llama.cpp model configurations and their load status. It is categorised as a Read tool in the Mcp Llama Swap MCP Server, which means it retrieves data without modifying state.
Register the Mcp Llama Swap MCP server in PolicyLayer and add a rule for list_models: 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 Mcp Llama Swap. Nothing to install.
list_models 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 list_models 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 list_models. 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.
list_models is provided by the Mcp Llama Swap MCP server (oussama-kh/mcp-llama-swap). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Llama Swap, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 Mcp Llama Swap tools catalogued and risk-classified — across an index of 43,000+ MCP servers.