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ztemerbekov

A1 Yandex KIT MCP

Get customer

get_customer
Read-only

Retrieve a customer record by their unique ID from the Yandex KIT e-commerce API. Set redact to true to replace personal data with placeholders when only aggregated or non-personal information is needed.

Instructions

Get a single customer by their ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesCustomer ID (UUID).
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.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.6.0
    • 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

A3.7/5.0
Behavior3/5

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

The readOnlyHint annotation already signals a safe read operation, and the description adds only the 'single' and 'by ID' scoping. It does not disclose not-found behavior, response shape, or redaction effects beyond what the parameter schema already says. No contradiction with 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?

The description is a single, front-loaded sentence with zero filler. It conveys the essential purpose immediately and wastes no words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The schema fully documents parameters and the readOnlyHint covers safety, but there is no output schema and the description does not describe return fields or error behavior. It also does not point to sibling tools for related lookups. Adequate for a simple getter, but with noticeable gaps.

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 100%, and both parameters have clear descriptions in the schema, especially the redact parameter. The tool description itself adds no parameter-level meaning, so the baseline score of 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 states a specific verb ('Get'), a clear resource ('customer'), and the qualifier 'single customer by their ID', which distinguishes it from list_customers (plural) and get_current_user (current user). This is unambiguous and easy for an agent to act on.

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 description implies the tool should be used when a single customer's ID is known, but it does not explicitly name alternatives such as list_customers or get_current_user, nor does it state when not to use this tool. Usage is inferable rather than explicitly guided.

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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