list_supported_models

Returns the full catalog of supported ML models grouped by provider and capability. e.g., provider:

Server Model Runner josephtandle/replicate-mcp-mcp
Category Read
Risk class Low
Parameters 00 required

What list_supported_models does on Model Runner

AI agents call list_supported_models to retrieve information from Model Runner without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why list_supported_models needs a policy

This is a read-only informational tool that lists available models. It has no capability to modify, delete, execute, or move money. The blast radius of misuse is negligible — an agent listing supported models cannot cause harm. Severity is low because the returned data is non-sensitive configuration information that would typically be public or semi-public API documentation.

From the tool's definition Tool name and description indicate it "Returns the full catalog of supported ML models grouped by provider and capability" — a query operation that retrieves static configuration data with no side effects.

Questions about list_supported_models

What does the list_supported_models tool do? +

Returns the full catalog of supported ML models grouped by provider and capability. e.g., provider:. It is categorised as a Read tool in the Model Runner MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_supported_models? +

Register the Model Runner 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 Model Runner. Nothing to install.

What risk level is list_supported_models? +

list_supported_models is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_supported_models? +

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.

How do I block list_supported_models completely? +

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.

What MCP server provides list_supported_models? +

list_supported_models is provided by the Model Runner MCP server (josephtandle/replicate-mcp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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