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Kits Get

tiendanube_kits_get
Read-onlyIdempotent

Retrieve a kit or combo product by ID, including its component products and variants, so you can inspect bundle contents and structure.

Instructions

Get a Kit/Combo product and the products/variants composing it. HTTP: GET /kits/{id} Required scope: read_products API version: 2025-03

Input Schema

NameRequiredDescriptionDefault
idYesKit ID
fieldsNoComma-separated list of fields to return, to reduce payload size (e.g. 'id,name,variants')
response_formatNoOutput format: 'json' (default, full data) or 'markdown' (human-readable)json

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered; the description adds the required auth scope, the API version, and the endpoint, which matter for a read against a versioned API. It also discloses that the payload includes composing products/variants — useful since there is no output schema. It stops short of describing pagination of components or error behavior for a non-kit id.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short lines, front-loaded with the verb and what is returned, then credentials and version metadata. The HTTP line partially restates the tool's nature but is defensible mapping info for a versioned REST API.

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 single-id read with full annotation coverage and full schema coverage, the description covers purpose, auth scope, and rough return shape, which is enough to call it correctly. Missing only edge-case behavior (component list size, invalid/non-kit id) that a caller might want.

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%, with 'id', 'fields', and the 'response_format' enum all documented in the schema, so the description need not compensate. It adds nothing about the parameters — no guidance on which fields are valid for 'fields' on a kit, which would have been the one genuinely useful addition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource and disambiguates the domain term ("Kit/Combo product and the products/variants composing it"), so the agent knows this returns a bundle plus its component items rather than a plain product. It doesn't explicitly contrast with tiendanube_products_get or tiendanube_variants_get, which are the nearest siblings, so it falls short of full sibling differentiation.

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?

Usage is implied by the resource name, and "Required scope: read_products" supplies a real prerequisite the agent can check. There is no explicit when-to-use/when-not, and no pointer to products_get or variants_get for the case where the agent actually wants a plain product; the choice is left to inference.

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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