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Finekot API

email_verify

Syntax, MX records, disposable domain, role address, free provider, typo suggestion and a 0–100 score. Mailbox existence is not probed. Cost €0.002 per address, charged to the API key in Authorization: Bearer. Parameters — email: address to check.

Input Schema

NameRequiredDescriptionDefault
emailNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations supplied, the description does real work: it discloses the per-call price (EUR 0.002), the billing mechanism (charged to the API key in the Authorization: Bearer header), and a hard limitation (no mailbox probing). That is materially better than most no-annotation tools, though it omits rate limits, failure behavior, and does not explicitly state the operation is read-only/non-mutating.

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 dense sentences with essentially no filler, and the cost/billing note is a useful warning. It is slightly back-loaded though: it opens with a list of outputs rather than the core action, and the 'Parameters —' fragment is terser than it needs to be.

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?

An output schema exists, so the description needn't explain return values, and it correctly spends its space on cost, billing, and the key limitation instead. The remaining gap is input-side: nothing says what happens for a malformed or null address, or how a 0-100 score should be interpreted for a decision.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must carry parameter meaning, and it does by glossing the single parameter as 'email: address to check'. It does not address the schema's odd nullable/default-null definition or the fact that the parameter is not required, leaving a small ambiguity about whether email can be omitted.

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 enumerates exactly what is checked (syntax, MX records, disposable domain, role address, free provider, typo suggestion) and the 0-100 score output, so an agent knows this is an email address verification tool. It is specific about the resource but never states the action as a verb and does not name a sibling to contrast with, so it stops short of a 5.

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: the field list suggests 'validate an address before using it' and 'Mailbox existence is not probed' functions as a when-not caveat. There is no explicit statement of when to pick this over phone_validate-style siblings or what to do with a low score, so the agent must infer the workflow.

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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