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Price Tables Variants Update

tiendanube_price_tables_variants_update
Idempotent

Update variant entries in a Tiendanube price table, including prices, by sending the table ID and request body to the API.

Instructions

Update variants entries of a price table (e.g. prices). Body shape per the API reference. HTTP: PUT /products/price-tables/{table_id}/variants Required scope: write_products API version: 2025-03

Input Schema

NameRequiredDescriptionDefault
payloadYesRequest body (object or array)
table_idYesPrice table ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnly=false, idempotent=true, destructive=false and openWorld=true; the description adds genuinely useful context (required scope write_products, API version 2025-03, PUT endpoint). However, the critical bulk semantics are undisclosed: whether this replaces the entire variant set, upserts by variant_id, or partially patches rows.

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 with the action front-loaded and the endpoint, scope and version packed efficiently. Nothing is redundant, but the space saved is spent on metadata rather than on the payload semantics the agent actually needs.

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

Completeness2/5

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

For a bulk mutation with an unconstrained body schema and no output schema, the definition should describe the expected array/object item structure and the replace-vs-merge behavior. Neither is present; 'per the API reference' is a gap, not a specification.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is nominally 100%, but the payload is an untyped object/array with no property definitions, so the schema conveys almost nothing. The description's only parameter guidance is 'Body shape per the API reference', pushing the agent to an external document instead of describing item fields such as variant_id and price.

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 (update) and resource (variants entries of a price table) with an example of what is being set (prices). It is distinguishable from siblings like tiendanube_price_tables_variants_add/remove, though it never explicitly contrasts with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this bulk endpoint versus the sibling add/remove/update-single variants tools, nor any prerequisite beyond the required scope. The agent must infer selection from the name alone.

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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