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diklaaltman91-ux

ai.studio/woocommerce-gold

gold_low_stock_alert

Alert on WooCommerce low-stock or backordered products to trigger reorders before stockouts.

Instructions

Gold PRO $29: low-stock alert via GET /wp-json/wc/v3/products?stock_status=onbackorder/lowstock — BYOK fail-closed. Moat: one call alerts for reorder.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
per_pageNo
thresholdNostock quantity threshold, default 5
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It discloses that this is a GET request, that it operates on backorder/lowstock, and that it fails closed on BYOK issues — useful behavioral detail. However, it does not clarify whether the tool actually sends an alert or simply returns matching products, nor what side effects or auth assumptions apply beyond 'BYOK fail-closed.'

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

Conciseness3/5

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

The description is short and mostly front-loaded, but it contains cryptic marketing/jargon phrases ('Gold PRO $29', 'Moat') that do not earn their place. It conveys the core idea in very few words, yet the structure is cluttered with unnecessary context.

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?

Because there is no output schema and no annotations, the description should explain what the agent will receive and what 'alert' means operationally. It does not describe the return value, pagination implications, or the actual alert mechanism, leaving important execution details unresolved.

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?

The schema documents only one of two parameters (threshold), leaving per_page unexplained, and the description does not compensate. It mentions the hardcoded stock_status values but gives no meaning for per_page or how threshold interacts with the alert condition, so half the parameter surface remains ambiguous.

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 identifies a specific action (low-stock alert) and resource (GET /wp-json/wc/v3/products with stock_status=onbackorder/lowstock), which is concrete and distinct from generic product queries. It does not explicitly distinguish itself from gold_get_products, but the stock-status filter and reorder intent make the purpose reasonably clear.

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?

It implies use for low-stock/reorder monitoring through the endpoint and 'one call alerts for reorder,' but it does not explicitly state when to choose this tool over siblings or when not to use it. The context is enough for an agent to infer the intended scenario, but alternatives are not mentioned.

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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