New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

config_path

Set or view the path where files will be downloaded.

SERVERKaggle-MCP SOURCE54yyyu/kaggle-mcp
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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

What config_path does on Kaggle-MCP

AI agents use config_path to create or update resources in Kaggle-MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kaggle-MCP environment.

Why config_path is rated Medium

This tool modifies configuration state (download path) reversibly. It does not execute code, delete data, or move money. While it can influence where downloads are stored, the change is easily reversible by setting a different path. Classified as Write rather than Read because the 'set' capability modifies persistent configuration, even though viewing is also supported.

From the tool's definition Tool description states 'Set or view the path where files will be downloaded' — 'set' indicates modification of configuration data.

Questions about config_path

What does the config_path tool do? +

Set or view the path where files will be downloaded. It is categorised as a Write tool in the Kaggle-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on config_path? +

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

config_path is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit config_path? +

Yes. Add a rate_limit block to the config_path 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_path completely? +

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

config_path 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.

More on Kaggle, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Kaggle's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.