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Numverify Validate

numverify_validate
Read-onlyIdempotent

Validate a phone number and look up its carrier, line type (mobile/landline), country, and location. Returns international/local formats too. Accepts E.164 (e.g. "+14158586273") or a local number with country_code. Example: numverify_validate({ number: "14158586273", _apiKey: "your-key" })

Input Schema

NameRequiredDescriptionDefault
numberYesPhone number to validate. E.164 like "+14158586273" or "14158586273", or a local number when country_code is supplied, e.g. "4158586273".
_apiKeyYesNumverify/APILayer API key. Free signup at https://numverify.com/product; key is on your APILayer dashboard.
country_codeNoOptional ISO 3166-1 alpha-2 country code (e.g. "US", "GB") — required only when `number` is in local/national format rather than international.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive behavior. The description adds useful return-value context by listing carrier, line type, country, location, and international/local formats, which helps an agent understand what the tool provides.

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?

The description is front-loaded with the core action and return fields, then moves to input formats and an example. It is efficient, though the inline example somewhat duplicates the schema examples.

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?

Given rich annotations and full schema coverage, the description is nearly complete. Since there is no output schema, it helpfully summarizes return fields, though it does not mention error behavior or rate limits.

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?

With 100% schema description coverage, the schema already documents all parameters thoroughly. The description reinforces accepted formats and the country_code condition, but adds little beyond what the schema and examples already provide.

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 states a specific verb and resource: validate a phone number and look up carrier, line type, country, and location. It clearly distinguishes itself from a simple country-list tool, though it does not explicitly name sibling tools.

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 implied by 'Validate a phone number', and the accepted input formats are explained. However, there is no explicit guidance on when to use this tool versus alternatives or any exclusions.

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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