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Check an email address

check_email
Read-onlyIdempotent

Is this address worth sending to: syntax, whether the domain exists and has mail servers, and whether it is a throwaway, role (info@, sales@) or free-provider address. It never contacts the mailbox, so a missing mailbox at a real domain still passes, and the answer says so.

Input Schema

NameRequiredDescriptionDefault
emailYesOne email address.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive and open-world behavior, so the bar is lower; the description still adds real value by disclosing the key limitation that the mailbox is never contacted, meaning a nonexistent mailbox at a valid domain still passes, and that the response reports this. It does not mention rate limits, lookup failures, or timeouts, which keeps it short of a 5.

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 filler: the first front-loads the decision framing and the check list, the second immediately qualifies what a 'pass' means. Every clause earns its place.

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?

There is no output schema, so the description bears some responsibility for signaling return content, and it does so by naming the check categories and noting that the answer discloses the mailbox-not-contacted caveat. It stops short of describing the response shape (e.g., per-check fields or overall verdict format).

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 100% and the single parameter is fully typed and required, so the schema carries parameter meaning. The description adds no syntax examples, format constraints, or edge-case handling (e.g., how malformed input is reported), so the baseline 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 names the exact resource (an email address) and enumerates the specific checks performed: syntax, domain existence and mail servers, throwaway/role/free-provider classification. An agent knows precisely what the tool returns a verdict on, and no sibling tool (company/job/page tools) overlaps with this purpose.

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 framing question 'Is this address worth sending to' implies the use case (pre-send deliverability triage), but there is no explicit when-to-use/when-not statement and no named alternative. Usage is inferable rather than stated, and there are no sibling tools that would need routing away from.

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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