config_unset

Clear a Kaggle API configuration value.

SERVERKaggle-MCP SOURCE54yyyu/kaggle-mcp

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/54yyyu-kaggle-mcp/config-unset.md

WHAT IT DOES

What config_unset does on Kaggle-MCP

AI agents call config_unset to permanently remove resources in Kaggle-MCP, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

RISK

Why config_unset is rated Critical

This tool removes (clears) a configuration value, which is a destructive operation that cannot be undone without knowing the original value. Misuse could break API authentication or connectivity by wiping critical config values like API keys or credentials. Severity is medium since it affects configuration rather than data, but could disrupt all Kaggle API operations.

From the tool's definition 'Clear a Kaggle API configuration value' — clearing/unsetting configuration is an irreversible removal of a stored value

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs config_unset 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 config_unset, this is the rule to start with:

config_unset Hidden

config_unset is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "config_unset"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Kaggle-MCP, apply this rule, and every config_unset call is checked against it from then on.

FAQ

Questions about config_unset

What does the config_unset tool do? +

Clear a Kaggle API configuration value. It is categorised as a Destructive tool in the Kaggle-MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on config_unset? +

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

config_unset is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit config_unset? +

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

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

config_unset 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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