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ztemerbekov

A1 Yandex KIT MCP

List characteristics

list_characteristics
Read-only

Retrieve product characteristics in paginated batches. Use the coverage envelope to verify completeness; when coverage is partial, state that the listing is incomplete rather than claiming it is full.

Instructions

List product characteristics (paginated). 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.
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. Addedv1.5.0

TDQS

A4.4/5.0
Behavior5/5

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

Beyond readOnlyHint, it discloses pagination, the machine-readable coverage envelope fields, and the mandatory user-facing handling of partial coverage; this is non-obvious behavior an agent would otherwise miss.

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 names the operation, the second gives the most important response constraint; every word earns its place.

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 no output schema, the prose covers the coverage envelope well, but it never names the field that actually holds the characteristic items, leaving response extraction slightly under-specified.

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 documents all five parameters at 100% coverage; the prose adds no parameter-level semantics, 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?

States a specific action and resource ('List product characteristics') and immediately flags pagination; it is clearly distinct from get_characteristic and the characteristic group/color listers.

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 list-vs-get naming and 'paginated' qualifier imply bulk listing, but the prose does not explicitly direct the agent away from get_characteristic or state when the list variant is preferred.

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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