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Verify an email address

email_verify
Read-only

Check one email's syntax, mail routing, disposable/free-provider/role flags, and SMTP recipient acceptance. Sends no email. DNS alone does not verify a mailbox. unknown means inconclusive or mailbox not checked; likely_deliverable is evidence, not a delivery guarantee. No login or API key required. Rate limited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
checksYes
reasonYes
statusYes
checkedAtYes
suggestionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing that no email is sent, that no login or API key is required, and that the endpoint is rate limited. These are exactly the operational facts an agent needs for an SMTP-probing tool, and none of them are derivable from readOnlyHint/openWorldHint alone.

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

Conciseness4/5

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

The purpose is front-loaded in the first sentence, followed by compact, discrete clauses covering side effects, interpretation caveats, auth, and limits. Every sentence carries information, though the result-interpretation caveats are slightly dense for the space.

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?

An output schema exists, so return structure needn't be explained, yet the description proactively clarifies the ambiguous result states ('unknown means inconclusive or mailbox not checked', 'likely_deliverable is evidence, not a delivery guarantee'). Combined with the side-effect, auth, and rate-limit notes, an agent has everything needed to call and interpret this correctly.

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 description coverage is 0%, but the single parameter is a self-explanatory 'email' string, and the description confirms the scope is exactly one address ('one email's...'). It adds no format or syntax guidance beyond the name, so the low-coverage baseline is not clearly exceeded.

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?

States a specific verb (check) and resource (one email) and enumerates exactly what is tested: syntax, mail routing, disposable/free-provider/role flags, and SMTP recipient acceptance. An agent knows precisely what this tool returns information about, and no sibling tool overlaps with it.

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

Usage Guidelines3/5

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

The description makes the intended use implied (verify one email's deliverability signals) and warns against a common misuse ('DNS alone does not verify a mailbox'), but it never states when to reach for this tool versus not using it, and there is no alternative named. Adequate but leaves usage conditions to inference.

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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