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voog_ecommerce_api_call

Destructive

Forward HTTP requests to Voog Ecommerce API v1 for managing orders, carts, discounts, shipping methods, and more. Supports query parameters include and language_code.

Instructions

Generic Ecommerce v1 API passthrough. Forward an HTTP request to https:///admin/api/ecommerce/v1. Same shape as voog_admin_api_call, different base URL. Supports ?include=... and ?language_code=... per Voog ecommerce conventions. Use for orders, carts, discounts, shipping_methods, gateways, cart_fields, cart_rules, delivery_provider_configs, templates, bulk product actions, products imports, etc.

method='GET' is DEPRECATED in v1.4 — use voog_ecommerce_api_read instead; GET support is removed in v1.5.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteYesSite name from voog_list_sites
methodYesHTTP method
pathYesEndpoint path starting with '/', e.g. '/orders', '/products/42', '/settings'.
bodyNoOptional JSON body for POST/PUT/PATCH. Voog uses different envelope conventions per endpoint — see docs/voog-mcp-endpoint-coverage.md.
paramsNoOptional query parameters as a flat string-keyed object, e.g. {'include': 'translations', 'q.page.hidden.$eq': 'true'}.
Behavior4/5

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

Annotations indicate destructiveHint=true and readOnlyHint=false. The description adds that GET is deprecated and that it supports query parameters like ?include= and ?language_code=. It also mentions 'Same shape as voog_admin_api_call' which helps, but lacks explicit details on auth requirements or response structure beyond what annotations hint.

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 concise with two paragraphs: the first states purpose and usage, the second provides a deprecation warning. No redundant information, and the key points are front-loaded.

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 complex generic passthrough tool, the description covers base URL, sibling differentiation, deprecation, and example endpoints. It does not detail error handling or response format, but given no output schema, it is reasonably complete.

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

Parameters4/5

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

Schema coverage is 100%, so the description's addition of specific query parameters (?include=, ?language_code=) and envelope conventions adds value beyond the schema. However, the schema already adequately describes the parameters and their types.

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 explicitly states it is a generic passthrough to the Voog Ecommerce v1 API, distinguishing it from voog_admin_api_call by noting different base URL. It lists specific use cases like orders, carts, discounts, etc., making the purpose clear and specific.

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

Usage Guidelines5/5

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

The description provides clear guidance on when to use this tool (e.g., for orders, carts, etc.) and explicitly tells users to use voog_ecommerce_api_read instead for GET requests, noting deprecation. This gives effective alternatives and context.

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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