extract_contacts

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/extract-contacts.md

WHAT IT DOES

What extract_contacts does on GadgetHumans API Hub

AI agents call extract_contacts 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 extract_contacts is rated Low

The tool name indicates contact information retrieval with no apparent side effects (no modification, deletion, or external action mentioned). Categorized as Read due to retrieval nature. Severity is medium because extraction of contact data could expose personal information if misused by an agent, though the tool itself performs only data retrieval.

From the tool's definition Tool name 'extract_contacts' suggests data retrieval from unspecified input (likely text or documents). No description provided to confirm scope, data source, or whether extraction implies parsing/processing vs. actual extraction.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

extract_contacts Allowed

extract_contacts 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": {
    "extract_contacts": {}
  }
}

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 extract_contacts call is checked against it from then on.

FAQ

Questions about extract_contacts

What does the extract_contacts tool do? +

extract_contacts 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 extract_contacts? +

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

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

Can I rate-limit extract_contacts? +

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

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

extract_contacts 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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