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Verify Email Address

email.verification.check
Read-onlyIdempotent

Check if an email address is valid by verifying SMTP deliverability, DNS/MX records, disposable email, catch-all server, free provider, and role account. Returns comprehensive result.

Instructions

Verify an email address — SMTP deliverability check, DNS/MX validation, disposable email detection, catch-all server detection, free provider flag, role account flag (info@, admin@). Returns comprehensive verification result. Powered by WhoisXML API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address to verify (e.g. user@example.com, test@gmail.com)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv1.5.0

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate read-only, idempotent behavior. The description adds valuable details on specific checks performed (SMTP, DNS, etc.) and notes the API provider, without contradicting annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no fluff: first sentence states purpose and lists checks, second adds result description and source. Efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so the description's generic 'returns comprehensive verification result' is adequate. The list of checks provides sufficient context for the tool's capability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and includes an example format. The description does not add significant meaning beyond the schema, but the schema alone is sufficient for the single parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Verify an email address' and enumerates specific checks (SMTP, DNS/MX, disposable detection, etc.), precisely defining the tool's function and distinguishing it from siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for use but does not explicitly contrast with alternatives like email.validation.check or specify when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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