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maximeallanic

Carrefour Drive MCP

get_vignettes_products

Retrieve the authenticated user's promotional vignette products on Carrefour France. Display the list of sticker-based offers collected during shopping.

Instructions

Retrieves the authenticated user's vignette products on Carrefour France. Returns a list of products associated with promotional vignettes/stickers collected by the user. Useful for displaying the user's vignette-based promotions or collectible product labels. (requires an authenticated Carrefour session)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations are not provided, so the description carries the burden. It mentions 'requires an authenticated Carrefour session' and that it returns a list of products, but it does not disclose potential prerequisites like session refresh, rate limits, or what happens if no vignettes are available. It does not cover data volume or pagination, which might be relevant.

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 brief and front-loaded, with the main purpose in the first sentence. It adds relevant context about Carrefour France and authentication in a concise manner. No redundant sentences.

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?

For a no-parameter, read-only tool with no output schema, the description covers the basic purpose and authentication need. However, it lacks details about response structure (list of products, but no fields), and whether it might return empty or require session refresh. Given the tool is one among many in a large suite, a bit more context could help, but it is adequate.

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, and the schema coverage is 100% (empty). Since there are no parameters to describe, the baseline is 4, and the description adequately explains the purpose of the returned data, which compensates for the lack of parameters.

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 the tool retrieves the authenticated user's vignette products on Carrefour France, which is a specific resource and action. It distinguishes from siblings by mentioning 'vignette products' (promotional stickers/labels), which is a niche concept compared to general product retrieval tools. However, it doesn't explicitly contrast with similar tools like get_loyalty_coupon_collection or get_loyalty_balance.

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?

The description implies use when displaying the user's vignette-based promotions, but it lacks explicit guidance on when not to use it or alternatives. It does not differentiate from sibling tools like get_loyalty_coupon_collection, and there is no mention of prerequisites beyond authentication, which is stated.

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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