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deliverability

Email verification — lead data: MX/SPF/DMARC checks, disposable-domain and role-account detection, bounce-risk score 0-100 with a send/caution/do_not_send verdict. Email enrichment and validation. $0.03 USDC per call. Returns the x402 payment requirements; your agent's wallet executes the payment. Example: deliverability(target="jane@acme.com") or deliverability(target="acme.com")

Input Schema

NameRequiredDescriptionDefault
targetYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well on the operationally critical parts: it discloses the per-call price ($0.03 USDC) and the x402 payment handshake where the agent's wallet settles the charge. It does not spell out rate limits, auth requirements, or that the operation is read-only/non-mutating, leaving a modest gap.

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?

Dense but front-loaded: capability list first, then pricing/payment, then concrete invocation examples. Every line carries information, though the opening run-on of checks is slightly crammed.

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 return values need not be detailed, and the description still summarizes what the result contains (checks plus a 0-100 score and verdict). Input forms and the payment flow are covered; only edge behavior (errors, rate limits, invalid targets) is unaddressed.

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?

The single 'target' parameter has 0% schema description coverage, so the description must compensate — and it does, showing that target accepts either a full email (jane@acme.com) or a domain (acme.com). This is the key ambiguity an agent would otherwise hit, though no format/validation details beyond the examples are given.

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 specific verb and resource ('Email verification') and enumerates concrete outputs (MX/SPF/DMARC checks, disposable-domain and role-account detection, bounce-risk score 0-100 with a verdict), which naturally separates it from raw-DNS siblings like dns or domain_intel. It never explicitly names a sibling it is not, so it falls short of full differentiation.

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?

The examples show two invocation shapes (email address vs bare domain), implying usage, but there is no statement of when to prefer this tool over dns, domain_intel, or lookup_lead, and no exclusions or prerequisites beyond the payment note. Usage is inferable rather than spelled out.

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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