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vigneshachar283

inboxvalid-mcp

Verify Email

verify_email

Verifies email deliverability by checking syntax, disposable domains, and MX records, returning a valid, invalid, or risky status with a reason code.

Instructions

Verifies an email address's deliverability plausibility: syntax, disposable-domain, and MX-record checks. Returns a structured status ('valid' | 'invalid' | 'risky') with a machine-readable reason code - never throws on a bad address, always returns a result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesThe email address to verify, e.g. 'user@example.com'
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses key behavioral traits: it never throws on a bad address, always returns a result, and returns a structured status with a machine-readable reason code. It does not detail side effects or permissions, but for a read-only verification tool, this is reasonably transparent.

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?

Two sentences, front-loaded with the primary action and key checks, followed by the return behavior. Every word earns its place; no fluff or 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 single-parameter tool with no output schema, the description covers all essentials: what it checks, what it returns (status and reason code), and its error behavior. This is complete enough for an agent to select and invoke the tool correctly.

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?

The input schema provides 100% coverage of the single parameter ('address') with a clear example. The description adds minimal extra meaning beyond the schema, but the baseline of 3 applies because the schema does the heavy lifting.

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?

The description clearly states the tool's function with a specific verb ('verifies') and resource ('email address's deliverability plausibility'), and enumerates the exact checks performed (syntax, disposable-domain, MX-record). This distinguishes it from any hypothetical sibling tool and leaves no ambiguity about what it does.

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?

No explicit alternatives are listed, but the description provides a clear context for when this tool is appropriate: whenever an email address needs deliverability verification. The absence of siblings reduces the need for exclusionary guidance, and the description implicitly signals its use case.

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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