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EmailVerify by Techforce Global

Verify email address

verify_email
Read-onlyIdempotent

Check if a single email address is real and deliverable. Runs syntax, domain/MX, disposable, role-account, live SMTP mailbox, catch-all, SPF/DMARC and typo checks, and returns status (valid / invalid / risky / unknown), a 0-100 confidence score, reasons and a did_you_mean suggestion for likely typos. Takes 1-20 seconds.

Input Schema

NameRequiredDescriptionDefault
emailYesThe email address to verify, e.g. john.doe@company.com

Output Schema

NameRequiredDescriptionDefault
emailYes
flagsNo
scoreYes
checksNo
statusYes
reasonsNo
confidenceNo
did_you_meanNo
free_providerNo
mail_providerNo
business_emailNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover readOnly/idempotent/openWorld, so the description is free to add genuinely new context: the 1-20 second runtime and the full set of verification stages behind the result. It doesn't mention rate limits, quotas, or what happens on SMTP timeouts, which is the main remaining gap.

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 dense sentences, no filler, with the core purpose and latency front-loaded. Every clause carries information an agent would otherwise have to guess.

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

Completeness5/5

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

For a one-parameter read-only check with an output schema, the description gives everything needed: what it validates, what it returns conceptually, and how long it takes. Nothing required to invoke it correctly is absent.

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 the single parameter carries its own example, so the schema does the work. The description adds nothing about the email parameter (format edge cases, length limits) beyond it, so baseline 3 applies.

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 opens with a specific verb+resource: "Check if a single email address is real and deliverable." It enumerates the exact checks run and the return shape, and the word "single" implicitly separates it from verify_email_batch.

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?

"A single email address" signals the per-address scope and pins the latency expectation, which nudges an agent toward verify_email_batch for lists. It never names that sibling explicitly or states an exclusion, so the routing is implied rather than spelled out.

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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