detect_text_encoding

Detect the character encoding of a text string.

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-text-encoding.md

WHAT IT DOES

What detect_text_encoding does on GadgetHumans API Hub

AI agents call detect_text_encoding 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_text_encoding is rated Low

This is a straightforward utility that inspects and reports metadata about text input. It retrieves information (the detected encoding) with no side effects, reversible actions, code execution, data deletion, or financial impact. It falls squarely under the Read category.

From the tool's definition Tool name 'detect_text_encoding' and description 'Detect the character encoding of a text string' indicate a query/analysis operation that examines input text and returns encoding information without modifying, executing, or deleting anything.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

detect_text_encoding Allowed

detect_text_encoding 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_text_encoding": {}
  }
}

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_text_encoding call is checked against it from then on.

FAQ

Questions about detect_text_encoding

What does the detect_text_encoding tool do? +

Detect the character encoding of a text string. 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_text_encoding? +

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

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

Can I rate-limit detect_text_encoding? +

Yes. Add a rate_limit block to the detect_text_encoding 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_text_encoding completely? +

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

detect_text_encoding 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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