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configure_ecommerce_locales

Set locale modes for e-commerce platform URLs and content, with auto-detection or fixed language options.

Instructions

Configurar idiomas de la plataforma — Configura como se manejan los idiomas y URLs de tu plataforma e-commerce [mutation]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shopify_locale_modeNoModo de URLs: auto detecta por mercado, fixed usa un idioma fijoauto
shopify_fixed_localeNoIdioma fijo para URLs (solo si locale_mode es fixed)
shopify_content_locale_modeNoModo de contenido: auto o fijoauto
shopify_content_fixed_localeNoIdioma fijo para contenido
shopify_fallback_localeNoIdioma por defecto cuando no se puede detectar
Behavior2/5

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

The description includes a '[mutation]' tag indicating it modifies state, but lacks details on side effects, idempotency, required permissions, or whether changes are reversible. Without annotations, this is insufficient for an agent to understand the tool's behavioral implications.

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?

The description is a single concise sentence with a clear purpose, front-loaded with the main action. No extraneous information. Could benefit from slight expansion to cover usage context, but current length is acceptable.

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?

Given 5 parameters and no output schema, the description omits crucial context: what happens upon success? Does it return a confirmation? Are there any side effects? For a mutation tool, this incomplete contextual information may lead to incorrect agent decisions.

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?

Input schema coverage is 100%, so baseline 3 applies. The description adds no parameter-level explanation beyond what the schema already provides (e.g., enum values, defaults). Agent behavior is adequately supported by the schema alone.

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?

The description clearly states it configures languages and URLs for the e-commerce platform, using a specific verb ('Configurar') and resource ('idiomas y URLs'). It distinguishes from sibling tools like 'connect_ecommerce' which focus on connection, not configuration. However, it could be more explicit about its unique scope among similar configuration tools.

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 tool versus alternatives. It does not mention prerequisites (e.g., requiring an active e-commerce connection) or scenarios to avoid. The description only implies its purpose, leaving agents to infer usage context from the tool name.

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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