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Benjamin09e

wezas-africa-toolkit

Valider Telephone

valider_telephone

Validates African phone numbers in E.164 format, identifies operators, and checks Mobile Money compatibility so AI assistants and Python apps can verify numbers offline without API keys.

Instructions

Valide un numéro de téléphone africain (E.164, opérateur, Mobile Money). Validates an African phone number (E.164, operator, Mobile Money).

Input Schema

NameRequiredDescriptionDefault
paysYesNom ou code ISO (ex. 'Gabon', 'GA', 'Sénégal', 'SN', 'CI').
numeroYesNuméro local ou international (ex. '066 11 22 33' ou '+24166112233').

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral burden. It says the tool validates a number but does not state that it is read-only, whether it has side effects, what permissions are needed, or how invalid inputs are handled.

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 definition is short and front-loaded with the core purpose. The French and English sentences are duplicated, which is useful for bilingual clarity but does double the text length.

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 tool has only two required parameters with full schema coverage and an output schema, so the description needn't explain return values. However, with no annotations, it should do more to disclose behavioral context such as read-only status or error behavior.

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 description coverage is 100%, and both parameters are already well documented in the schema. The description adds no parameter-level details beyond the schema, so the baseline score of 3 applies.

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: validating an African phone number, including E.164 format, operator, and Mobile Money. It is clear what the tool does, though it does not explicitly distinguish it from siblings such as lister_operateurs or info_pays.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. The agent can infer it validates phone numbers, but usage conditions are left unstated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.