Get the status of a notebook execution
AI agents call kaggle_get_notebook_status to retrieve information from Mcp Kaggle Tool without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation—it queries and returns the current status of a notebook execution. There are no side effects, state changes, code execution, or data destruction. It falls squarely within the Read category, with low severity because status checks pose minimal risk even if called inappropriately by an AI agent.
From the tool's definition Tool name 'kaggle_get_notebook_status' and description 'Get the status of a notebook execution' indicate a query operation that retrieves execution status information without modifying, executing, or deleting any data.
Attacks that exploit this kind of access
Get the status of a notebook execution. It is categorised as a Read tool in the Mcp Kaggle Tool MCP Server, which means it retrieves data without modifying state.
Register the Mcp Kaggle Tool MCP server in PolicyLayer and add a rule for kaggle_get_notebook_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 Mcp Kaggle Tool. Nothing to install.
kaggle_get_notebook_status 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 kaggle_get_notebook_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.
Set action: deny in the PolicyLayer policy for kaggle_get_notebook_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.
kaggle_get_notebook_status is provided by the Mcp Kaggle Tool MCP server (mikeybeez/mcp-kaggle-tool). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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