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Byteplant Validator MCP Server

Official

Validate an email address

validate_email
Read-only

Validate an email address through Byteplant Validator MCP Server, returning status, category, freemail flag, and rate-limit details to assess deliverability.

Instructions

Validate an email address and return info about it.

Result fields:

  • status (int): API result code. 401, 118 and 119 status codes indicate API errors: 401 -> info: 'Email address missing' 118 -> info: 'Rate Limit Exceeded' 119 -> info: 'API Key Invalid or Depleted'

  • info (string): short status description

  • details (string): full status description

  • freemail (boolean): indicates freemail addresses (Gmail, Yahoo, Outlook/Hotmail/Live, AOL, ...) [true | false]

  • ratelimit_remain (int): number of API requests remaining before the API rate limit is reached (the default API rate limit allows 100 API requests in 300s)

  • ratelimit_seconds (int): number of seconds remaining in the current rate limit interval

  • category, status_description: added from the numeric status code (category is VALID, SUSPECT, INVALID, INDETERMINATE or UNKNOWN)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesThe email address to validate
timeoutNoTimeout in seconds (min 5, max 300)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.4/5.0
Behavior4/5

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

Annotations only supply readOnlyHint and openWorldHint, so the description carries the rest and does so well: it documents rate-limit behavior (100 requests per 300s), the ratelimit_remain/ratelimit_seconds fields, and specific error codes (401 missing address, 118 rate limited, 119 invalid/depleted API key, implying an API key is required). That is meaningful operational context beyond the structured fields.

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

Conciseness3/5

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

The core purpose is front-loaded in one sentence, but the bulk of the body is an enumerated list of result fields, which duplicates the existing output schema and does not earn its place in a tool description. Structure is readable but somewhat bloated with redundant return-value documentation.

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?

For a two-parameter read-only validation tool, the description covers error semantics, rate limiting, and the meaning of the category enum, which is enough for correct invocation. The return-value section is redundant given the output schema, but nothing essential 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% (email and timeout both documented in the schema), so the baseline is 3. The description adds nothing about the timeout parameter or accepted email formats, but it does explain what the operation does with the address, so it is not below baseline.

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?

The description opens with a concrete verb+resource: 'Validate an email address and return info about it.' The resource (email) is distinct from the sibling tools validate_address and validate_phone, so an agent can route correctly even though siblings are never named 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?

There is no statement about when to use this tool versus validate_address or validate_phone, and no prerequisites or exclusions are given. Usage is only inferable from the name and first sentence, which is the minimum implied context rather than real guidance.

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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