model_get

What model_get does on Kaggle-MCP

AI agents call model_get to retrieve information from Kaggle-MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why model_get is rated Low

This tool retrieves information about a model on Kaggle without creating, modifying, or deleting any data. It is a straightforward query operation that poses minimal security risk, as it only returns metadata about existing models. The low severity reflects that even if an agent calls this repeatedly or retrieves sensitive model details, the operation itself cannot cause harm.

From the tool's definition Tool name 'model_get' and description 'Get details of a specific model' indicate a retrieval operation with no modification or side effects.

The rule that runs model_get safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Kaggle-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For model_get, this is the rule to start with:

{
  "version": "1",
  "default": "deny",
  "tools": {
    "model_get": {}
  }
}

Questions about model_get