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Convertir mon cashback

convertir_cashback

Pour l’utilisateur connecté à son compte Tchin, marchand ou particulier (connexion demandée la première fois). Convertit des Tchin du cashback en argent sur un solde pays de l’utilisateur (sans frais, 500 F au moins ; 1 000 Tchin = 10 F).

Input Schema

NameRequiredDescriptionDefault
paysYesTG (Togo), BJ (Bénin) ou BF (Burkina Faso).
montantYesLe montant en F CFA à recevoir.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare the mutation profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=false), so the bar is lower. The description adds real value beyond them: no fees, a 500 F minimum, and the exchange rate of 1 000 Tchin = 10 F, plus the authentication requirement on first use.

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?

Two sentences: the first establishes the actor and authentication prerequisite, the second the operation and its constraints. Front-loaded and waste-free, though the parenthetical constraint list is dense.

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?

For a mutation tool with full annotation coverage and no output schema, the description covers actor, auth, cost, minimum and conversion rate. It does not say what happens on insufficient cashback or what the response contains, which are minor gaps given the structured data already provided.

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 coverage is 100% (including the enum for pays and the 500 minimum for montant), so the baseline is 3. The description earns an extra point by stating the exchange rate, which explains the relationship between cashback Tchin consumed and the CFA amount received — information the schema does not contain.

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?

States a specific verb and resource: converts cashback Tchin into fiat money on the user's country balance. The cashback scoping implicitly separates it from sibling tools like retirer_mobile_money or deplacer_argent, though it never names an alternative explicitly.

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?

It establishes who can call it (connected user, merchant or individual) and gives a minimum threshold, which implies when it is applicable. However, it never says when to prefer this over retirer_mobile_money or mon_cashback, so the agent must infer the routing.

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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