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kernel_status

Get the status of a kernel.

SERVERKaggle-MCP SOURCE54yyyu/kaggle-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/54yyyu-kaggle-mcp/kernel-status.md

What kernel_status does on Kaggle-MCP

AI agents call kernel_status 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 kernel_status is rated Low

The tool retrieves information about a kernel's current state without modifying, executing, or deleting anything. It is a simple read operation similar to checking metadata. The fact that it operates on Kaggle kernels (which are compute environments) does not change the classification, as the tool itself only observes status rather than triggering execution or making changes.

From the tool's definition Tool name and description explicitly indicate a status query: "Get the status of a kernel." This is a retrieval operation with no modification, execution, or deletion of data.

Questions about kernel_status

What does the kernel_status tool do? +

Get the status of a kernel. 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 kernel_status? +

Register the Kaggle MCP server in PolicyLayer and add a rule for kernel_status: 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 kernel_status? +

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

Can I rate-limit kernel_status? +

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

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

kernel_status is provided by the Kaggle MCP server (54yyyu/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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