Lists available Gemini models that support the
AI agents call list_supported_models to retrieve information from Youtube Vision MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only operation that enumerates supported models. It has no side effects, does not execute code or commands, does not modify data, and does not involve financial transactions. The blast radius of misuse is minimal—an AI agent could only learn which models are available, which is informational metadata. Low severity appropriate for simple informational queries.
From the tool's definition Tool name is 'list_supported_models' and description indicates it 'Lists available Gemini models' — a pure query operation that retrieves information about available AI models without modifying state or triggering external actions.
Documented attack patterns abuse exactly the kind of access list_supported_models gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Youtube Vision MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list_supported_models:
{
"version": "1",
"default": "deny",
"tools": {
"list_supported_models": {}
}
}list_supported_models is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Lists available Gemini models that support the. It is categorised as a Read tool in the Youtube Vision MCP MCP Server, which means it retrieves data without modifying state.
Register the Youtube Vision MCP server in PolicyLayer and add a rule for list_supported_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 Youtube Vision MCP. Nothing to install.
list_supported_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_supported_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_supported_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_supported_models is provided by the Youtube Vision MCP server (minbang930/youtube-vision-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Youtube Vision MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 Youtube Vision MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.