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UVU-Store

shopify-graphql-mcp

by UVU-Store

search_products

Search and filter Shopify products using queries and criteria like price, vendor, and product type. Retrieve results sorted by relevance, title, price, or date with pagination.

Instructions

Search products using Shopify's discovery/search functionality

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoCursor for pagination
firstNoNumber of products to fetch (1-250, default: 50)
queryYesSearch query (e.g., 't-shirt', 'category:shirts')
filtersNoAdditional filters
reverseNoReverse the sort order
sortKeyNoField to sort by
Behavior2/5

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

With no annotations, the description carries the full burden for behavioral disclosure, but it only states that it searches — not whether it's read-only, returns paginated results, what filters are supported, or any side effects. The phrase 'discovery/search functionality' hints at a specific API but doesn't disclose behavior beyond the basic operation.

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 concise sentence that directly states the tool's purpose. It is appropriately sized and front-loaded with the key verb and resource.

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 tool has 6 parameters including pagination and sorting, and no output schema, the description should clarify return format and behavior. It doesn't explain what results look like or how this search differs from other product retrieval tools, leaving significant gaps for an agent.

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 coverage is 100% and each parameter has a clear description. The tool description adds no additional semantic context beyond what the schema already provides, so it stays at the baseline of 3.

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 the specific verb 'search' and identifies the resource 'products', and adds 'Shopify's discovery/search functionality' which differentiates it from sibling tools like get_products and get_product. However, it doesn't explicitly contrast with similar tools, so it's not a full 5.

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 given on when to use this tool versus alternatives like get_products or predictive_search. It doesn't mention when not to use it or any prerequisites.

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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