read_url

Read and extract clean text content from any URL. Returns article text, title, and metadata.

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/read-url.md

WHAT IT DOES

What read_url does on GadgetHumans API Hub

AI agents call read_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 read_url is rated Low

This tool retrieves and queries data from remote URLs without creating, modifying, deleting, or executing arbitrary code. It is a passive read operation that fetches publicly available web content and parses it. The only minor risk is that it could be used to fetch sensitive data if a private URL is provided, but the tool itself has no side effects.

From the tool's definition Tool name is 'read_url' and description states it 'Read[s] and extract[s] clean text content from any URL' with 'Returns article text, title, and metadata.' The verbs are read, extract, and return—all retrieval operations with no modification.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

read_url Allowed

read_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": {
    "read_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 read_url call is checked against it from then on.

FAQ

Questions about read_url

What does the read_url tool do? +

Read and extract clean text content from any URL. Returns article text, title, and metadata. 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 read_url? +

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

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

Can I rate-limit read_url? +

Yes. Add a rate_limit block to the read_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 read_url completely? +

Set action: deny in the PolicyLayer policy for read_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 read_url? +

read_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.

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