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maxiomus

MCP Shopify Admin Server

by maxiomus

List Products

product_list
Read-onlyIdempotent

Retrieve Shopify products with optional search, vendor filters, and pagination. Get JSON or Markdown responses for inventory operations.

Instructions

List products from a Shopify store with optional filtering and pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of products to return (1-250)
queryNoSearch query (e.g., 'title:shirt' or 'vendor:Nike')
storeYesStore name (use store_list to see available stores)
cursorNoPagination cursor from previous response
response_formatNoResponse formatjson
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that the tool supports filtering and pagination, but provides no further behavioral details such as return format or rate limits, so it adds limited value beyond 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 a single, front-loaded sentence with no wasted words. It clearly states the action, target, and key optional capabilities.

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 low complexity of a list operation, the description plus schema provide adequate context. The tool has no output schema, but the return value (a list of products) is self-evident. However, it could benefit from a note about response structure or pagination cursor behavior.

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?

Schema description coverage is 100%, so all parameter meanings are already documented. The description's mention of 'optional filtering and pagination' loosely maps to the query, limit, and cursor parameters, but it adds no new detail beyond the schema.

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 uses a specific verb ('List') and resource ('products from a Shopify store'), making the tool's purpose clear. It mentions optional filtering and pagination, but does not explicitly distinguish itself from sibling tool product_search, which could also support filtering.

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 usage for general product listing but provides no explicit guidance on when to use product_list versus product_search or other alternatives. The parameter schema hints at store_list for store discovery, but the description itself lacks usage 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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