clean_whitespace

Remove redundant whitespace: extra spaces, tabs, newlines, or all.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-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/io-github-scotia1973-bot-api-hub/clean-whitespace.md

WHAT IT DOES

What clean_whitespace does on GadgetHumans API Hub

AI agents call clean_whitespace to permanently remove resources in GadgetHumans API Hub, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

RISK

Why clean_whitespace is rated Critical

An AI agent that decides to call clean_whitespace doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from GadgetHumans API Hub is gone. There is no undo for destructive operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs clean_whitespace safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For clean_whitespace, this is the rule to start with:

clean_whitespace Hidden

clean_whitespace 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": [
    "clean_whitespace"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every clean_whitespace call is checked against it from then on.

FAQ

Questions about clean_whitespace

What does the clean_whitespace tool do? +

Remove redundant whitespace: extra spaces, tabs, newlines, or all. It is categorised as a Destructive tool in the GadgetHumans API Hub 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 clean_whitespace? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for clean_whitespace: 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 GadgetHumans API Hub. Nothing to install.

What risk level is clean_whitespace? +

clean_whitespace 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 clean_whitespace? +

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

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

clean_whitespace is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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