analyze_url

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/analyze-url.md

WHAT IT DOES

What analyze_url does on GadgetHumans API Hub

AI agents call analyze_url 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 analyze_url is rated Low

The tool name implies inspection or analysis of URLs, which would be a read operation with no side effects. However, confidence is reduced to 0.6 because the description is empty and provides no explicit confirmation of functionality or constraints.

From the tool's definition Tool name 'analyze_url' with empty description. The name suggests URL analysis/inspection (a read-only operation), consistent with the utility API theme of the server (QR codes, hashing, formatting).

Attacks that exploit this kind of access

RECOMMENDED RULE

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

analyze_url Allowed

analyze_url 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": {
    "analyze_url": {}
  }
}

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 analyze_url call is checked against it from then on.

FAQ

Questions about analyze_url

What does the analyze_url tool do? +

analyze_url 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 analyze_url? +

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

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

Can I rate-limit analyze_url? +

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

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

analyze_url 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

analyze_devtools_anomalies on Percepta MCP Server → The MCP Attack Database →

Guides

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