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email-validate

Email verification and deliverability check without sending anything: syntax, MX records, disposable-domain detection (121k+ known domains), role-account and free-provider flags. JSON verdict with a bounce/deliverability risk level. Validate emails for signup fraud prevention, list hygiene and lead qualification. [Paid: $0.004 USDC per call via x402 on Base; the calling client pays automatically.]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address to validate

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It transparently states the tool performs checks without sending an email, returns a JSON verdict with bounce/deliverability risk level, and discloses the payment method (x402 on Base). This sufficiently covers behavioral aspects for a read-only verification tool.

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?

The description is concise, with every sentence adding value. It front-loads the primary purpose, lists specific checks, states output format, provides use cases, and mentions cost. No redundant or irrelevant information.

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?

Given the tool has one parameter and no output schema, the description is complete. It explains what the tool does, the types of checks, the output format (JSON verdict with risk level), appropriate use cases, and cost. No missing information for a tool of this complexity.

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 coverage is 100% for the single parameter 'email' with a description of 'Email address to validate'. The overall description adds context about the verification checks but does not elaborate on input format or constraints beyond what the schema provides. Baseline score of 3 is appropriate as the schema already describes the parameter adequately.

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 purpose: email verification and deliverability check without sending. It lists specific checks (syntax, MX records, disposable-domain detection, role-account, free-provider flags) and distinguishes itself from siblings (no other email validation tool). The verb 'validate' and resource 'email' are specific.

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?

The description provides clear use cases: signup fraud prevention, list hygiene, lead qualification. It mentions the cost ($0.004 per call) which is a practical guideline. However, it does not explicitly state when not to use it or compare to alternatives, but the context among siblings makes it clear this is the only email validation tool.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each of the 30 tools has a highly specific, non-overlapping purpose, from brand visibility to chemical safety to YouTube transcripts. Descriptions are detailed and clearly differentiate each tool's function, eliminating ambiguity.

Naming Consistency4/5

All tool names use lowercase with hyphens, creating a consistent visual pattern. However, the structure varies: some are noun-verb (email-validate, pdf-extract), others noun-noun (brand-visibility, chem-compat). This minor inconsistency prevents a perfect score.

Tool Count3/5

With 30 tools, the server offers a very broad surface. While each tool earns its place as a distinct utility, the high count may overwhelm agents and dilute focus. It is borderline heavy for a single server, hence a score of 3.

Completeness3/5

The tool set covers a wide range of domains: business, chemicals, crypto, domain, email, finance, holidays, trade, jobs, legal, mapping, medical, news, packages, electronics, PDF, product, recall, sanctions, screenshots, SEC, tech stack, web archive, web search, YouTube. Yet it lacks some common utilities like weather, translation, or image analysis, leaving notable gaps for a general-purpose utility server.