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den-indance

Shopify MCP Pro

getInventoryReport

Retrieve inventory analytics and forecasting data for selected locations and products. Specify forecast parameters to predict stock needs.

Instructions

Get inventory analytics and forecasting

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationIdsNo
productIdsNo
includeForecastingNo
forecastDaysNo
Behavior2/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as read-only nature, required permissions, rate limits, or output format. For a tool named 'getInventoryReport', it likely reads data, but this is not stated. The minimal description fails to inform the agent about side effects or constraints.

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 concise at one sentence, but it is too brief and lacks structure. While brevity is positive, the sentence is vague and does not front-load critical information. It barely earns its place given the tool's complexity; more detailed context would be justified.

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 the absence of an output schema and annotations, the description is incomplete. It does not explain what the report contains, how forecasting is performed, or the meaning of filtered results. For a tool with four optional parameters and presumably significant output, more contextual completeness is needed.

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 description coverage is 0%, and the description does not explain any parameters. Although parameter names like locationIds and productIds are intuitive, the description adds no value beyond property names. Critical details (e.g., how forecastDays interacts with includeForecasting, or default behavior) are missing, requiring the agent to infer from context.

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 'Get inventory analytics and forecasting' clearly states the action and resource, distinguishing it from siblings like getInventoryLevels (which focuses on stock levels) and other report tools (e.g., getSalesReport, getTrafficReport). However, it lacks specifics about the type of analytics (e.g., turnover, stock-outs), which would enhance clarity.

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 is provided on when to use this tool versus alternatives. Given the many sibling tools for reports and inventory, the description should include explicit context (e.g., 'For stock levels, use getInventoryLevels'). The current description only states the function without any usage recommendations.

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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