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Email address check

check_email
Read-only

Email check: validates the address format, confirms the domain exists and accepts mail (MX), and flags disposable providers, role accounts (info@, support@), and free providers. Returns deliverable_likely, risky, undeliverable, or invalid with a reason. No message is sent. Useful for cleaning sign-up lists and lead data before outreach. Paid via x402; see list_prices.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "email": "<email>"
    },
    "name": "check_email"
  }
}

Input Schema

NameRequiredDescriptionDefault
emailYesEmail address to check.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior5/5

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

Goes well beyond the readOnlyHint/openWorldHint annotations by naming the exact checks performed, the possible result categories, the reason field, the no-message side effect, and the x402 payment requirement with a pointer to list_prices.

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?

Front-loads the core validation behavior, then gives result categories, side effects, use case, and payment note in a compact sequence. Every sentence adds useful information without repetition.

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 validation tool with no output schema, the description supplies the return categories, reason field, absence of side effects, intended use, and payment context. Nothing essential for correct invocation is missing.

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 only parameter is already documented as the email address to check. The description adds no parameter-specific syntax or constraints beyond what the schema provides, so baseline 3 is appropriate.

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?

Uses a specific verb and resource: validates an email address format, checks domain/MX, and flags provider types. It is clearly distinct from siblings such as verify_url, domain_report, or check_site_safety.

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?

Gives clear context for use: cleaning sign-up lists and lead data before outreach. It also clarifies that no message is sent, but it does not explicitly name alternatives or exclusions versus tools like verify_url or domain_report.

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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