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ztemerbekov

A1 Yandex KIT MCP

Get variant

get_variant
Read-only

Retrieve a single variant by ID to get its name, SKU, pricing, stocks, media, and status. Use this tool to fetch full variant data for e-commerce operations.

Instructions

Get a single variant by its ID (name, SKU, pricing, stocks, media, status).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesVariant ID (UUID).
Behavior4/5

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

The readOnlyHint annotation already indicates a safe read operation. The description adds value by specifying the exact data returned (name, SKU, pricing, stocks, media, status), giving the agent a concrete expectation of the response content.

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?

The description is a single, front-loaded sentence that conveys the action, target, and scope without extraneous words. Every element earns its place.

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?

For a simple single-entity read tool with one fully described parameter and a readOnlyHint, the description is complete. It states exactly what is fetched and includes the key data fields, making it sufficient for correct invocation.

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 schema fully documents the id parameter as 'Variant ID (UUID)' with 100% coverage. The description only restates 'by its ID' without adding new semantic detail, so it meets the baseline but does not elevate it.

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 states the tool gets a single variant by ID, listing the included fields (name, SKU, pricing, stocks, media, status). This distinguishes it from list_variants (list) and create_variant/update_variant (mutations).

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 implies usage for fetching one specific variant when its ID is known. It provides clear context but does not explicitly name alternatives or exclusions, such as 'use list_variants to search without an ID.'

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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