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ztemerbekov

A1 Yandex KIT MCP

List gift cards

list_gift_cards
Read-only

Fetch paginated gift cards from the store with status and purchase-date filters. The coverage field indicates partial results.

Instructions

List gift cards of the store (paginated), with optional status and purchase-date filters. The response carries a machine-readable coverage envelope (coverage, received, total_count, pages_read); coverage:"partial" MUST be reflected in the user-facing answer and forbids claiming the listing is complete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
allNoFetch all pages via auto-pagination, up to 500 items; ignores page/per_page.
pageNoPage number, starting at 1 (default 1).
fieldsNoCSV columns; only valid together with format:"csv". Field names are validated against the item schema of the operation's response — an unknown name fails with the list of allowed fields. Default: every top-level scalar field of the item.
formatNoOutput format: "csv" renders the items as RFC 4180 CSV (a leading "# coverage:" comment line, then the header row) instead of JSON — cheaper for wide exports. Default: JSON.
redactNoUse redact:true when the task does not need personal data (e.g. counting or aggregating orders) — personal fields (name, phone, email, delivery address and its parts, notes) are replaced with "[redacted]". Applies to the response only; request bodies are never redacted. Default false.
statusNoFilter by gift card status.
per_pageNoItems per page, 1-100 (default 25). Values outside the range are clamped.
purchased_date_toNoFilter by purchase date: end of the range, inclusive (ISO 8601).
purchased_date_fromNoFilter by purchase date: start of the range, inclusive (ISO 8601).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv1.6.0
    • addedInput schema / properties / fields
      Added value: +{
      +  "description": "CSV columns; only valid together with format:\"csv\". Field names are validated against the item schema of the operation's response — an unknown name fails with the list of allowed fields. Default: every top-level scalar field of the item.",
      +  "items": {
      +    "type": "string"
      +  },
      +  "minItems": 1,
      +  "type": "array"
      +}
    • addedInput schema / properties / format
      Added value: +{
      +  "description": "Output format: \"csv\" renders the items as RFC 4180 CSV (a leading \"# coverage:\" comment line, then the header row) instead of JSON — cheaper for wide exports. Default: JSON.",
      +  "enum": [
      +    "csv"
      +  ],
      +  "type": "string"
      +}
    • addedInput schema / properties / redact
      Added value: +{
      +  "description": "Use redact:true when the task does not need personal data (e.g. counting or aggregating orders) — personal fields (name, phone, email, delivery address and its parts, notes) are replaced with \"[redacted]\". Applies to the response only; request bodies are never redacted. Default false.",
      +  "type": "boolean"
      +}
  2. First observedv1.3.0

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses a critical operational behavior: the response carries a coverage envelope and 'coverage:"partial"' MUST be reflected in the user-facing answer, forbidding claims of completeness. This is substantive behavioral context not available from annotations.

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 tight sentences: the first front-loads the core purpose, the second adds the essential coverage-envelope caveat. No filler or redundancy.

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 0 required parameters, full schema coverage, and a readOnlyHint annotation, the description covers the tool's distinctive behavior (coverage envelope) and core usage. The lack of an output schema is partially mitigated by describing the envelope, though item-level fields are left to the fields parameter/schema.

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 description coverage is 100%, so every parameter (all, page, per_page, status, dates, format, redact, fields) is already documented in the input schema. The description only summarizes pagination and filters without adding parameter-level meaning beyond the schema.

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 states a specific action ('List'), a specific resource ('gift cards of the store'), and key scoping details ('paginated', optional status and purchase-date filters). This clearly distinguishes it from singular tools like get_gift_card and from other list_* tools.

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 provides clear context for when to use this tool: listing gift cards with pagination and optional filters. It does not explicitly name alternatives or state when not to use it, but the purpose is specific enough to guide selection among the siblings.

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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