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Validate Phone

validate_phone
Read-onlyIdempotent

Validate & parse a phone number against the E.164 / ITU calling-code plan (keyless, offline). Detects the country, normalizes to E.164, and checks the national-number length is plausible. Pass an international number (e.g. "+33 1 23 45 67 89") OR a national number plus a country ISO code (e.g. phone="020 7946 0958", country="GB"). Does NOT determine carrier or mobile-vs-landline (that needs a keyed HLR lookup).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phoneYesThe phone number to validate (international "+.." form, or national form with `country`).
countryNoOptional ISO 3166 alpha-2 country code (e.g. "US", "GB", "DE") used when `phone` is in national (non-+) form.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "phone": "+33 1 23 45 67 89"
      +  },
      +  {
      +    "country": "GB",
      +    "phone": "020 7946 0958"
      +  }
      +]
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior. The description adds valuable context: it's keyless/offline, detects country, normalizes to E.164, and checks length plausibility. It also clarifies what it does not do, which is beyond the 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 concise at three sentences, with no redundant information. It front-loads the core purpose, then provides usage patterns, and finally lists exclusions. Every sentence adds value.

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's simplicity (2 params, no output schema, clear annotations), the description fully covers input requirements, constraints, and limitations. It is complete for an agent to correctly select and use the tool without confusion from sibling tools.

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?

Schema has 100% coverage with clear descriptions for both parameters. The description adds meaning by providing usage examples and explaining the relationship between 'phone' and 'country', clarifying the two allowed input formats (international vs national+country).

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 validates and parses phone numbers against E.164, distinguishing it from siblings like 'country_calling_codes' by specifying it checks plausibility and detects country. It also explicitly states what it does not do (carrier determination), differentiating it from other tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit usage modes: international number without country, or national number with country code. It also tells when not to use the tool (for carrier or line-type determination), and suggests an alternative ('keyed HLR lookup').

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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