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maximeallanic

Carrefour Drive MCP

get_loyalty_coupon_collection

Retrieve your available Carrefour loyalty coupons with discount details, validity dates, product info, and category filters.

Instructions

Retrieves the loyalty coupon collection for the authenticated user on Carrefour France. Returns a list of available coupons with details such as label, discount amount, discount unit, validity/expiration dates, product packaging description, image URL, category, and availability status. Also returns facet metadata for filtering by category. (requires an authenticated Carrefour session)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the full burden. It clearly discloses read-only retrieval, enumerates the returned coupon data, mentions facet metadata, and notes the auth requirement. It could have mentioned error behavior or pagination, but for a zero-param getter this is reasonably transparent.

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?

Two compact sentences, first stating the action and resource, second summarizing output detail and auth requirement. Every sentence contributes meaning with no fluff or repitition of the tool name's intent only.

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?

Given no params, no annotations, and no output schema, the description thoroughly describes return content and auth context. It does not discuss limites like pagination, but that is likely unnecessary for a simple zero-parameter retrieval of a coupon collection.

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?

The tool has zero parameters, so parameter disamyguity is not a concern. The description adds a little semantic flavor by listing coupon attributes, but no parameter-level explanation is needed. Baseline 4 applies as per rubric for zero-param tools.

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?

Description is specific with a clear verb and resource: 'Retrieves the loyalty coupon collection for the authenticated user on Carrefour France.' This distinguishes it from sibling loyalty tools like get_loyalty_balance or get_loyalty_coupons_dashboard by naming the exact collection of data.

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?

The description states a clear context (authenticated user on Carrefour France) and an explicit prerequisite: 'requires an authenticatied Carrefour session.' It does not list alternative tools or when not to use, but the behavior is consistent and clear enough for an agent to select correctly.

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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