model_get

Get details of a specific model.

Server Kaggle-MCP realbytecode/kaggle-mcp
Category Read
Risk class Low
Parameters 00 required

What model_get does on Kaggle-MCP

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

Why model_get needs a policy

This tool performs a read-only query operation against the Kaggle API to fetch metadata about a pre-trained model. It has no side effects, does not execute code, does not modify data, and does not involve financial transactions. The blast radius of misuse is minimal—an agent could only access publicly available model information on Kaggle, which is already accessible through normal API usage.

From the tool's definition Tool name is 'model_get' and description states 'Get details of a specific model', which retrieves information without modifying, deleting, or executing external operations.

Questions about model_get

What does the model_get tool do? +

Get details of a specific model. It is categorised as a Read tool in the Kaggle-MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on model_get? +

Register the Kaggle- MCP server in PolicyLayer and add a rule for model_get: 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 Kaggle-MCP. Nothing to install.

What risk level is model_get? +

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

Can I rate-limit model_get? +

Yes. Add a rate_limit block to the model_get 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 model_get completely? +

Set action: deny in the PolicyLayer policy for model_get. 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 model_get? +

model_get is provided by the Kaggle- MCP server (realbytecode/kaggle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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