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Bestshopping Cashback — IT, DE, FR

search_merchants

Read-onlyIdempotent

Search eligible retail merchants in the selected Bestshopping account market by name, domain or ID. Results exclude adult shops, restricted categories, digital vouchers, top-ups and services. Reads Bestshopping catalog data only; does not browse merchant websites or activate tracking. Cashback is reserved for eligible account holders aged 18 or over.

Input Schema

NameRequiredDescriptionDefault
limitNo
queryYesMerchant name, website domain or ID. Empty string lists the catalog.
marketYesBestshopping ACCOUNT market: it (Italy), de (Germany), fr (France). Ask the user if missing or ambiguous; never infer it from language or reuse IDs across markets.
offsetNo

Output Schema

NameRequiredDescriptionDefault
queryYes
totalYes
marketYes
offsetYes
merchantsYes
next_offsetYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedOutput schema / properties / checked_at
      Removed value: -{
      -  "format": "date-time",
      -  "type": "string"
      -}
    • changedOutput schema / required
      Previous value: -[
      -  "market",
      -  "query",
      -  "total",
      -  "offset",
      -  "next_offset",
      -  "merchants",
      -  "checked_at"
      -]New value: +[
      +  "market",
      +  "query",
      +  "total",
      +  "offset",
      +  "next_offset",
      +  "merchants"
      +]
  2. Changed5 schema fields changed
    • removedInput schema / properties / market / default
      Removed value: -"it"
    • changedInput schema / properties / market / enum
      Previous value: -[
      -  "it"
      -]New value: +[
      +  "it",
      +  "de",
      +  "fr"
      +]
    • changedInput schema / required
      Previous value: -[
      -  "query"
      -]New value: +[
      +  "query",
      +  "market"
      +]
    • changedOutput schema / properties / market / enum
      Previous value: -[
      -  "it"
      -]New value: +[
      +  "it",
      +  "de",
      +  "fr"
      +]
    • changedOutput schema / properties / merchants / items / properties / market / enum
      Previous value: -[
      -  "it"
      -]New value: +[
      +  "it",
      +  "de",
      +  "fr"
      +]
  3. Changed5 schema fields changed
    • changedInput schema / properties / market / description
      Previous value: -"Bestshopping market. Only Italy is enabled."New value: +"Bestshopping ACCOUNT market: it (Italy), de (Germany), fr (France). Ask the user if missing or ambiguous; never infer it from language or reuse IDs across markets."
    • removedOutput schema / properties / market / const
      Removed value: -"it"
    • addedOutput schema / properties / market / enum
      Added value: +[
      +  "it"
      +]
    • removedOutput schema / properties / merchants / items / properties / market / const
      Removed value: -"it"
    • addedOutput schema / properties / merchants / items / properties / market / enum
      Added value: +[
      +  "it"
      +]
  4. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description still adds real context beyond them: the eligibility filter (adult/restricted/voucher/top-up exclusion), the fact that it reads the Bestshopping catalog only and never browses merchant sites or activates tracking, and the 18+ cashback constraint. Only pagination/result-shape behavior is left implicit.

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?

Three front-loaded sentences: capability, exclusion scope, then data-source/eligibility boundaries. Each earns its place, though the closing 18+ cashback sentence is user-eligibility policy rather than tool behavior and is the weakest of the three.

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 rich annotations and a declared output schema, return values need no narration, and the description covers what makes this tool distinctive (eligibility filtering, read-only catalog access, no tracking activation). The one real gap is pagination guidance for limit/offset, which neither the description nor the schema text supplies.

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 coverage is 50%: query and market are documented, limit and offset are not. The description's 'by name, domain or ID' essentially restates the query schema text and 'selected Bestshopping account market' restates market, adding no syntax or format detail, and it says nothing about limit caps or paging via offset. Borderline baseline 3 is appropriate given the schema does half the work.

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?

States a specific verb and resource ('Search eligible retail merchants ... by name, domain or ID') plus the catalog it reads, which clearly separates it from the single-record get_merchant sibling. It stops short of naming any sibling or stating the singular-vs-list distinction outright, so it is clear but not maximally differentiating.

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 exclusion list ('exclude adult shops, restricted categories, digital vouchers, top-ups and services') implicitly bounds when this tool is useful, and 'does not ... activate tracking' hints at the boundary with prepare_cashback_link. But no explicit routing advice is given — nothing says to use get_merchant for a known ID or prepare_cashback_link to actually earn cashback.

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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