detect_language

Detect the language of provided text with confidence score.

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/detect-language.md

WHAT IT DOES

What detect_language does on GadgetHumans API Hub

AI agents call detect_language 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 detect_language is rated Low

The detect_language tool performs text analysis and returns metadata about the input without any side effects. It retrieves or queries information (language detection) from provided data with no ability to modify, execute code, delete data, or affect external systems. This is a classic Read operation with minimal security risk.

From the tool's definition Tool description states 'Detect the language of provided text' - this is a pure analysis/classification operation that reads input text and returns language identification with confidence scoring.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

detect_language Allowed

detect_language 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": {
    "detect_language": {}
  }
}

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 detect_language call is checked against it from then on.

FAQ

Questions about detect_language

What does the detect_language tool do? +

Detect the language of provided text with confidence score. 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 detect_language? +

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

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

Can I rate-limit detect_language? +

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

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

detect_language 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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