lang_detect

Detect the programming language of source code.

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/lang-detect.md

WHAT IT DOES

What lang_detect does on GadgetHumans API Hub

AI agents call lang_detect 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 lang_detect is rated Low

This is a straightforward analysis tool that examines source code to identify its programming language. It retrieves or infers information from the provided code sample without creating, modifying, executing, or destroying any data. The operation is read-only with no capability to affect external systems or state.

From the tool's definition Tool name 'lang_detect' and description 'Detect the programming language of source code' indicate a query/analysis operation with no side effects. The tool reads and analyzes input but does not modify, execute, or delete anything.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

lang_detect Allowed

lang_detect 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": {
    "lang_detect": {}
  }
}

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 lang_detect call is checked against it from then on.

FAQ

Questions about lang_detect

What does the lang_detect tool do? +

Detect the programming language of source code. 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 lang_detect? +

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

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

Can I rate-limit lang_detect? +

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

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

lang_detect 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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