config_path
Set or view the path where files will be downloaded.
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.
Attacks that exploit this kind of access
The rule that runs config_path 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_path, this is the rule to start with:
config_path stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Kaggle-MCP, apply this rule, and every config_path call is checked against it from then on.
Questions about config_path
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.
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.
config_path is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
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.
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