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Préparer une demande de paiement Tchin

preparer_demande_tchin
Idempotent

Crée une demande de paiement (une facture) en francs CFA (XOF) au nom d’un compte Tchin désigné par son Tchin ID (pseudo@tchin), puis affiche son formulaire de paiement sécurisé dans la conversation. Cet outil N’EFFECTUE AUCUN PAIEMENT et ne débite personne : c’est l’utilisateur qui valide lui-même dans le formulaire, s’il le souhaite. À utiliser quand l’utilisateur veut payer ou envoyer un montant à un Tchin ID. Montant entre 200 et 1 000 000 F.

Input Schema

NameRequiredDescriptionDefault
motifNoFacultatif : l’objet du paiement (par exemple « Commande 42 »).
montantYesLe montant en francs CFA (XOF), sans décimales.
tchin_idYesLe Tchin ID du bénéficiaire, par exemple boutique@tchin.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

The key non-obvious behavior is disclosed forcefully: it performs NO payment and debits no one, the user must confirm in the secured form. This goes beyond what readOnlyHint=false / destructiveHint=false / idempotentHint=true convey, and is essential for a tool whose name suggests a transfer. It omits what happens to the request afterwards (expiry, reference, status), and the idempotentHint claim is left unexplained.

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 no-payment disclaimer is front-loaded in the second sentence where it matters most, and each sentence carries distinct information. Slight redundancy with the schema's min/max amount range keeps it from being maximally tight.

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?

With no output schema, the description does explain the observable result (a secure payment form rendered in the conversation), which is what an agent needs to narrate to the user. It leaves open what a failure looks like or whether an existing request is reused given idempotentHint=true.

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 all three parameters are already documented including the XOF unit, pseudo@tchin format and the 200–1 000 000 bounds. The description restates the amount range and the Tchin ID notation without adding new syntax or constraints, so the baseline applies.

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?

States a specific verb and resource ("Crée une demande de paiement (une facture)") in XOF for a designated Tchin ID, and explicitly distinguishes the outcome (a payment form shown in the conversation) from actually moving money. An agent can separate it from envoyer_argent or creer_lien_paiement from the description alone.

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

Usage Guidelines4/5

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

"À utiliser quand l'utilisateur veut payer ou envoyer un montant à un Tchin ID" gives a clear triggering condition, and the 200–1 000 000 F bounds constrain usage. It does not name the alternative siblings (envoyer_argent, deplacer_argent, creer_lien_paiement) or say when not to use it.

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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