verify_email

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/verify-email.md

WHAT IT DOES

What verify_email does on GadgetHumans API Hub

AI agents call verify_email 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 verify_email is rated Low

Email verification typically performs checks (format validation, domain validation, or existence checks) without modifying data. The empty description and utility-focused server context suggest this is a read operation. Confidence is moderate due to missing documentation, but the name strongly implies a query/validation tool rather than an action that modifies or executes arbitrary code.

From the tool's definition Tool named 'verify_email' in a utility API hub; description is empty. Based on naming convention, it likely queries email validity/format without side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

verify_email Allowed

verify_email 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": {
    "verify_email": {}
  }
}

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 verify_email call is checked against it from then on.

FAQ

Questions about verify_email

What does the verify_email tool do? +

verify_email 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 verify_email? +

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

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

Can I rate-limit verify_email? +

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

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

verify_email 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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