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Profullstack: Check Email Address

profullstack_email_checker
Read-onlyIdempotent

[Profullstack] An MCP server module for checking email validity using the un.limited.mx API

Served by Profullstack (https://profullstack.com/mcp).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "profullstack_email_checker"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful context by naming the external un.limited.mx API, which explains the open-world behavior and implies a third-party network dependency. It does not disclose what 'validity' means (syntax only vs. MX/deliverability/disposable detection), nor latency, rate limits, or failure modes.

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?

Two short sentences, front-loaded with the purpose, with no redundancy. The 'Served by Profullstack' attribution line is vendor boilerplate rather than task-relevant information, which keeps it out of the top band.

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

Completeness2/5

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 should explain what a check returns (boolean, score, reason codes), and it says nothing. Combined with a schema that declares no properties, an agent cannot determine how to supply the email or how to interpret the result. The undeclared external dependency's cost and reliability are also unmentioned.

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?

Parameter count is zero, which normally gives a baseline of 4, but the schema is a bare object with additionalProperties=true and no declared properties. Since the tool cannot function without an email address, the agent must guess the input key name and format, and the description provides no help on that. This gap pulls the score below the zero-parameter 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 states a specific verb and resource: 'checking email validity' via the un.limited.mx API. That clearly separates it from domain-oriented siblings such as profullstack_check_domain_availability and profullstack_bulk_domain_check. It does not explicitly name those siblings as alternatives, but the resource distinction (email vs domain) is evident.

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?

Usage is only implied: an agent infers it should call this when it has an email address to validate. There is no statement of when not to use it, no mention of a bulk alternative, and no prerequisites or rate-limit guidance. Adequate but leaves routing decisions 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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