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Email Validation

email_validate
Read-onlyIdempotent

Validate an email address: RFC syntax, MX lookup, disposable/free/role-account flags, typo correction, and a composite deliverability score. Demo mode is allowed; no live SMTP probe.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address to validate.
check_dnsNo

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive behavior. The description adds meaningful behavioral context beyond that: it performs MX lookup, flags disposable/free/role accounts, suggests typo corrections, returns a composite score, and importantly does NOT perform a live SMTP probe. It also notes demo mode is allowed, which is useful operational context not captured in annotations.

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 a single compact sentence that front-loads the core action and then efficiently lists the key checks and limitations. Every clause adds information: the validation scope, the behavioral boundary (no SMTP probe), and the demo-mode allowance. There is no filler.

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

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is adequate for a moderately complex read-only tool: it explains what checks are performed and the composite score, and the annotations cover safety. However, with no output schema, the description does not fully characterize the return shape beyond the score/flags, and the check_dns parameter remains unexplained. These gaps make it complete enough to use but not fully self-sufficient.

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

Parameters2/5

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

Schema description coverage is only 50%: 'email' is described, but 'check_dns' has no schema description and no description-level explanation. The description mentions 'MX lookup' but never links it to the check_dns parameter or explains that toggling check_dns controls DNS checking. With one undocumented parameter and no compensating explanation, the description fails to fully convey parameter semantics.

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?

Description states a specific verb ('Validate') and resource ('an email address') and enumerates exactly what the validation covers: RFC syntax, MX lookup, disposable/free/role-account flags, typo correction, and composite deliverability score. This clearly distinguishes it from sibling tools like email_smtp_probe or email_disposable by positioning it as the comprehensive validation entry point.

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 description implies when to use this tool by presenting it as full email validation and by explicitly noting 'no live SMTP probe,' which hints that live probing is out of scope. However, it does not name sibling alternatives such as email_smtp_probe for live deliverability checks or email_disposable/email_free_provider for narrower checks, so usage guidance remains implied rather than explicit.

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

B3.2/5.0
Disambiguation2/5

Multiple tools have genuinely blurry boundaries: company_change vs company_changes differ only by singular/plural yet serve different purposes, company_domain vs company_classify vs company_lookup_auto all accept a domain, geo_zip_lookup vs geo_enrich vs geo_zip_batch all return ZIP profiles, and email_validate subsumes much of email_disposable and email_free_provider. The domain prefixes help narrow search space, but within many domains an agent cannot reliably predict which tool is the right one.

Naming Consistency4/5

All 129 tools uniformly follow a snake_case [domain]_[topic] convention (company_, fx_, geo_, dns_, weather_, tax_), which is highly predictable and consistent. Minor deviations include the confusing company_change/company_changes pair, and inconsistent suffix usage (_batch appears on address_validate_batch, company_domains_batch, geo_zip_batch but not on equivalent lookup tools elsewhere).

Tool Count1/5

129 tools far exceeds the 50+ extreem-mismatch threshold, bundling roughly 28 unrelated data domains (weather, fx, tax, ccompany, dns, jobs, flight, email, phone, tax...) into a single MCP surface. Even focusing on one domain forces the agent to load an enormous unrelated tool list; this should be split into many smaller domain-specific servers.

Completeness4/5

Per-domain coverage is impressively thorough: weather spans current/forecast/hourly/historical/normals/marine/route/air-quality, fx covers rates/convert/historical/volatility/correlation/strenth, and company includes lookup/enrichment/networks/timeline/peer-comparison plus six buyer-tuned signals with profile-introspection tools. Minor gaps like flight being historical-only and smtp probes skipping major email providers are documented scope decisions rather than dead ends.

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