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ARVI Wine Catalog

About the shop

get_shop_info

Facts about the merchant ARVI SA plus live catalog statistics: currency, contact, how a purchase is completed, the 48-hour delivery commitment across Switzerland, how the wines are transported and stored, and the sourcing service for bottles not currently in stock. Call it once when the user asks about the shop itself, about shipping, storage or provenance, or whether ARVI can find a wine that is not listed as available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.8/5.0
Behavior5/5

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

The description fully discloses the kind of information returned (currency, contact, purchase process, delivery commitment, transport, storage, sourcing), with no annotations to contradict.

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, efficient and front-loaded with key information. Could be slightly more structured but still clear.

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?

Given no input or output schema, the description fully covers what the tool does and when to use it, making it self-contained for agent decision.

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?

No parameters exist (0 required, 0 total), so baseline is 4. The description does not need to add parameter details.

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 title 'About the shop' and description clearly state the tool provides facts about the merchant ARVI SA and live catalog statistics, distinguishing it from sibling tools like search_shop_catalog or get_product_details.

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

Usage Guidelines5/5

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

The description explicitly states when to call it: 'Call it once when the user asks about the shop itself, about shipping, storage or provenance, or whether ARVI can find a wine that is not listed as available.'

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: search, facets, product details, vintages, similar products, and shop info. Descriptions explicitly guide when to use which, minimizing ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (find_similar_products, get_catalog_facets, etc.), using snake_case throughout. No deviations.

Tool Count5/5

With 6 tools, the server is well-scoped for a wine catalog: search, details, vintages, similar, facets, shop info. Each tool earns its place; not too many or too few.

Completeness5/5

The tool surface covers the full discovery workflow: from broad exploration (facets, search) to specific comparisons (vintages, similar) and purchase (details with links, shop info). No obvious gaps.

Resources