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VenticinqueMauro

Shopify Insights MCP

get_inventory_alerts

Monitor product inventory to detect out-of-stock and low-stock variants, with an adjustable threshold, so you can restock before sales are lost.

Instructions

Check inventory levels across all products. Identifies out-of-stock and low-stock variants that need attention.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
low_stock_thresholdNoUnits at or below this number are considered low stock (default: 5)
include_out_of_stockNoInclude variants with zero inventory (default: true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the general purpose but is ambiguous about whether it returns all product inventory levels or only filtered alert rows, and it does not mention output format, pagination, or read-only guarantees.

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?

Two concise sentences, front-loaded with the resource and intent. Every word contributes meaning, and there is no redundant restating of the tool name or schema details.

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

Completeness3/5

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

The tool is simple with two optional self-documenting parameters and no output schema, but the description leaves some ambiguity about whether output includes every product or only problematic variants. It is adequate for basic invocation but not fully complete for predicting the return shape.

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?

The schema provides 100% coverage of both parameters with clear descriptions and defaults, so the description does not need to add much. It does not explain how low_stock_threshold and include_out_of_stock map to the alerting behavior, but the schema already handles that sufficiently.

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 clearly identifies a specific resource (inventory levels) and the operation (checking/identifying out-of-stock and low-stock variants). The phrase 'across all products' gives scope, and the inventory-specific focus clearly distinguishes it from sibling tools like get_sales_comparison or get_order_alerts.

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?

The description implies the tool is for monitoring inventory and finding variants that need attention, which gives a sense of when to use it. However, it does not explicitly state when not to use it or name any alternatives, leaving usage decisions to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.