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ztemerbekov

A1 Yandex KIT MCP

List categories

list_categories
Read-only

Retrieve paginated product categories from a Yandex KIT store, filtered by ACTIVE or ARCHIVED status (default ACTIVE). Flags partial coverage when pagination limits apply, so you know the listing isn't complete.

Instructions

List product categories of the store (paginated). The API requires a status filter; defaults to ACTIVE when not provided. 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.
statusNoFilter by category status (default: [ACTIVE]).
per_pageNoItems per page, 1-100 (default 25). Values outside the range are clamped.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 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"
      +}
  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 behavioral trait: the coverage envelope and the mandatory rule that partial coverage must be reflected in user-facing answers. This is exactly the kind of non-obvious behavior an agent needs to avoid misleading users.

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?

Three sentences with no filler: purpose is front-loaded, then the status requirement, then the critical coverage caveat. Every sentence adds distinct value and the most important warning is placed at the end where it can be emphasized.

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?

For a list operation with 100% schema coverage and a readOnly annotation, the description is nearly complete: it covers pagination, status default, and the partial-coverage rule. It does not describe the category item fields in the response, but that is not necessary for a simple listing operation and no output schema is expected.

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 already covers all 6 parameters, so the description does not need to re-explain them. It does add the status-filter requirement and the coverage envelope context, but these are more response/usage details than parameter semantics. The schema carries the parameter burden, so baseline 3 is appropriate.

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 identifies the operation as listing product categories, with pagination explicitly stated. This distinguishes it from sibling tools like get_category (single category) and category_action (mutation), even without naming them.

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 gives clear context: it lists categories, is paginated, and requires a status filter with a sensible default. It does not explicitly state when to use this tool over get_category or category_action, but the listing vs singular/mutation distinction is strongly implied by the wording.

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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