speaking_time

A read tool on the GadgetHumans API Hub MCP server.

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/speaking-time.md

WHAT IT DOES

What speaking_time does on GadgetHumans API Hub

AI agents call speaking_time 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 speaking_time is rated Low

Based on the server's purpose (utility APIs for encoding, hashing, conversion) and sibling tools that perform calculations and transformations (amortization_calc, angle_convert, area_convert), 'speaking_time' likely computes or retrieves duration information without modifying data or triggering external actions. Classified as Read due to expected retrieve/calculate behavior.

From the tool's definition Tool name 'speaking_time' suggests a utility to calculate or retrieve speaking duration metrics. Server description indicates these are 'free utility APIs' for simple data transformation and calculation tasks.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

speaking_time Allowed

speaking_time 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": {
    "speaking_time": {}
  }
}

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 speaking_time call is checked against it from then on.

FAQ

Questions about speaking_time

What does the speaking_time tool do? +

speaking_time is a read tool on the GadgetHumans API Hub MCP server. 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 speaking_time? +

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

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

Can I rate-limit speaking_time? +

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

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

speaking_time 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

More on GadgetHumans API Hub, and thousands of servers like it.

This server

All 311 GadgetHumans API Hub tools →

Across the catalogue

The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →