research_topic

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/research-topic.md

WHAT IT DOES

What research_topic does on GadgetHumans API Hub

AI agents call research_topic 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 research_topic is rated Low

Based on the naming convention and server context (utility APIs with no side effects), 'research_topic' most likely retrieves or queries information rather than modifying or executing anything. The lack of a description prevents higher confidence. The tool appears consistent with a Read operation typical of query/lookup utilities.

From the tool's definition Tool name 'research_topic' suggests information retrieval or lookup functionality. The server offers 11 free utility APIs (QR, passwords, UUIDs, hashing, base64, lorem, JSON) and sibling tools are predominantly utility/conversion functions.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

research_topic Allowed

research_topic 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": {
    "research_topic": {}
  }
}

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 research_topic call is checked against it from then on.

FAQ

Questions about research_topic

What does the research_topic tool do? +

research_topic 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 research_topic? +

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

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

Can I rate-limit research_topic? +

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

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

research_topic 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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