code_beautify

Beautify/format source code with proper indentation.

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

WHAT IT DOES

What code_beautify does on GadgetHumans API Hub

AI agents call code_beautify to retrieve information from GadgetHumans API Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why code_beautify is rated Low

Code beautification is a non-destructive, read-like operation that parses input and returns formatted output without side effects, data modification, deletion, or execution of the code being formatted. The tool only transforms presentation/indentation, not functionality. This qualifies as a low-risk Read category operation.

From the tool's definition Tool is described as beautifying/formatting source code with proper indentation. This is a code formatting utility that restructures whitespace and layout without modifying logic, semantics, or execution of code.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

code_beautify Allowed

code_beautify 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": {
    "code_beautify": {}
  }
}

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

FAQ

Questions about code_beautify

What does the code_beautify tool do? +

Beautify/format source code with proper indentation. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on code_beautify? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for code_beautify: 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 code_beautify? +

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

Can I rate-limit code_beautify? +

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

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

code_beautify 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.

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