config_view

View current Kaggle API configuration values.

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/config-view.md

WHAT IT DOES

What config_view does on Kaggle-MCP

AI agents call config_view 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.

RISK

Why config_view is rated Low

This tool only reads and displays existing configuration settings. It has no side effects, does not modify any data, and poses minimal risk even if misused by an AI agent. It belongs firmly in the Read category with low severity.

From the tool's definition Tool name is 'config_view' and description states 'View current Kaggle API configuration values' — purely a read operation that retrieves and displays configuration data without modification.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

config_view Allowed

config_view is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY 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_view call is checked against it from then on.

FAQ

Questions about config_view

What does the config_view tool do? +

View current Kaggle API configuration values. 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 config_view? +

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

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

Can I rate-limit config_view? +

Yes. Add a rate_limit block to the config_view 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_view completely? +

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

config_view 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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