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moncler_stores

Retrieve the complete worldwide list of Moncler stores with coordinates, addresses, phone, email, hours, store type, and service flags. Filter by country or proximity client-side.

Instructions

List Moncler boutiques. Returns Moncler's full worldwide boutique list: name, coordinates, address, phone, email, opening hours, store type, and in-store service flags. This is the full list, not geo-filtered -- filter by country_code or proximity to coordinates client-side over the returned list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.5

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure. It states the exact data fields returned and emphasizes this is the full unfiltered list, which sets correct expectations. It doesn't mention side effects, but as a read-only list operation, the description adequately covers behavioral aspects.

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 compact, starting with the core action and then providing the field list and a filtering note. It avoids unnecessary words and is well-structured for quick scanning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description fully covers what the tool does and the nature of the output. It lists all returned fields and explains the filtering requirement, making it complete for an agent to decide to use this tool and understand the results.

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?

The input schema has zero parameters, so there is nothing to explain. The description confirms there are no inputs and that the tool returns the full list, which aligns with the empty schema. No parameter-specific semantics are needed.

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?

The description clearly states the action (list) and resource (Moncler boutiques) and enumerates the fields returned. It distinguishes itself from sibling tools like moncler_product or moncler_search by being the store list, so an agent can identify it without confusion.

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?

It provides context that this returns the full worldwide list and explicitly instructs how to filter (client-side by country_code or proximity). However, it doesn't explicitly name alternative tools or state when not to use this, so it's not fully explicit about usage exclusions.

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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