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by io.github.openapi
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check_email_advanced

check_email_advanced
Read-onlyIdempotent

Retrieves advanced information about an email address (spfDetails, dmarcDetails, createdAt, updatedAt, state, message, success, valid, disposable, smtpScore, overallScore, firstName, generic, common, dnsValid, honeypot, deliverability, frequentComplainer, spamTrapScore, catchAll, timedOut, suspect, recentAbuse, fraudScore, suggestedDomain, leaked, sanitizedEmail, identityData, domainAge, firstSeen, riskyTld, spfRecord, dmarcRecord, mxRecords, aRecords)
Args: email: the email to check

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_advanced"
  }
}

Input Schema

NameRequiredDescriptionDefault
emailYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and a closed world, so the safety profile is covered. In the absence of an output schema, the enumerated result fields (spfDetails, dmarcDetails, mxRecords, timedOut, etc.) do add real disclosure about what comes back, but nothing is said about rate limits, timeouts, auth, or cost of a live check.

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

Conciseness2/5

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

The definition front-loads its purpose reasonably but then collapses ~36 field names into a single parenthesis, followed by a differently formatted 'Args:' block. This is a large, unstructured dump rather than concise, front-loaded guidance.

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

Completeness3/5

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

Given no output schema, enumerating return fields is a defensible completeness choice, and the read-only annotations cover safety. However, the description omits any usage context and does not explain the sync/async relationship with its start sibling, leaving a meaningful gap for a 1-param enrichment tool.

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

Parameters2/5

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

Schema description coverage is 0% and the single parameter has no schema-level documentation. The description's 'email: the email to check' merely restates the parameter name without adding format, validation, or normalization meaning.

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

Purpose4/5

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

States a clear verb and resource ('Retrieves advanced information about an email address'), so an agent knows it enriches an email. It does not distinguish itself from the sibling check_email_start, so the 'advanced' qualifier carries the differentiation implicitly rather than explicitly.

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

Usage Guidelines2/5

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

No when-to-use guidance, no prerequisites, and no mention of the check_email_start/check_async_status async pattern implied by the sibling set. The agent is left to infer whether this call is synchronous or has to be paired with a start/status flow.

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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