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maxiomus

MCP Shopify Admin Server

by maxiomus

Execute Inventory Adjustment

inventory_adjust_execute
Destructive

Execute a previewed inventory adjustment to update stock levels. Confirmation required for production stores.

Instructions

Execute a previewed inventory adjustment. This actually changes the inventory. Production stores require confirm_production: true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operation_idYesOperation ID from inventory_adjust_plan
response_formatNoResponse formatjson
confirm_productionNoRequired for production stores
Behavior4/5

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

Annotations already indicate destructiveHint=true and readOnlyHint=false. The description adds value by explicitly stating 'This actually changes the inventory' and the production store requirement, which is not captured elsewhere. This provides meaningful behavioral context beyond the annotations.

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 and efficient, consisting of three short sentences. Each sentence serves a purpose: stating the action, emphasizing the real-world effect, and highlighting a key requirement. No fluff or redundancy, and key information is 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?

Given the tool's moderate complexity (3 parameters, no output schema, but rich annotations), the description covers the essential context: it is an execution step, it changes inventory, and production stores need confirm_production. It could optionally mention the return value, but the absence is acceptable because the operation's outcome is implied by its role.

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 input schema already provides 100% coverage for all three parameters, including descriptions for operation_id, response_format, and confirm_production. The description's mention of confirm_production simply repeats what the schema already states, adding no new semantic value beyond the schema.

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 states the tool's function: 'Execute a previewed inventory adjustment.' It uses a specific verb (Execute) and resource (previewed inventory adjustment), and distinguishes itself from sibling tools (inventory_adjust_plan, inventory_adjust_preview) by emphasizing that it 'actually changes the inventory,' making it unambiguous as the execution step.

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

Usage Guidelines4/5

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

The phrase 'previewed' implies the tool should be used after inventory_adjust_preview, and the note 'Production stores require confirm_production: true' gives a specific condition. However, it does not explicitly mention when not to use it or name alternative tools, though the sibling context makes the intended workflow clear.

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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