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Benjamin09e

wezas-africa-toolkit

Formater Montant

formater_montant

Formats numeric amounts with local currency symbols and grouping separators, using a country or currency code to infer the correct localized display.

Instructions

Formate un montant avec les séparateurs et symboles monétaires locaux. Formats an amount with local currency symbols and grouping separators.

Input Schema

NameRequiredDescriptionDefault
paysNoNom ou code ISO du pays (ex. "Gabon", "CI") pour déduire la devise.
deviseNoCode devise (XAF, XOF, EUR, USD). Optionnel si `pays` est fourni.
montantYesMontant numérique ou texte à formater (ex. 1000000, "15000.5").
decimalesNoNombre spécifique de décimales (optionnel, déduit de la devise par défaut).
inclure_symboleNoInclure le symbole monétaire dans la sortie (True par défaut).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It discloses the core transformation behavior—local currency symbols and grouping separators—but does not mention error handling, default currency inference, or that it is a non-mutating formatting operation.

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 two short sentences and front-loads the core purpose. The French and English sentences duplicate the same information, which is slightly redundant, but the description remains efficient.

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?

The tool is simple, the input schema has full parameter descriptions, and an output schema exists. The description sufficiently explains the formatting purpose, though it could briefly clarify default currency inference or contrast with sibling tools.

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%, so the schema already documents all five parameters thoroughly. The description adds no parameter-specific meaning beyond what the schema provides, making the baseline score appropriate.

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: formatting an amount with local currency symbols and grouping separators. It is clear what the tool does, but it does not explicitly differentiate itself from siblings such as convertir_devise or calculer_tva.

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, no prerequisites, and no exclusions. The description only says what it does, leaving the agent to infer usage contexts.

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