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Shopify Remote MCP Server

by com.hasdata
OverviewDiscussionsAdmin

shopify_collections: GET /

hasdata_shopify_collections_getCollections
Read-only

Get Shopify Store Collections

Lists collections from any public Shopify storefront URL with limit (up to 250) and page pagination. Returns each collection's id, title, handle, description, image, and timestamps. Use the returned handles as input to the Shopify Products endpoint to enumerate category-specific catalogs, or to map a competitor's merchandising taxonomy and track collection changes over time.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "hasdata_shopify_collections_getCollections"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesThe URL of the Shopify store. For example, 'https://b2bdemoexperience.myshopify.com'.
pageNoThe page number of the results to retrieve. Must be a positive integer.
limitNoThe maximum number of collections to retrieve. Must be between 1 and 250.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds genuinely new behavioral context: public (non-authenticated) storefronts, limit up to 250, page-based pagination, and an enumeration of returned fields. It omits rate-limit and error/empty-result behavior, which keeps it below 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the core action, then return shape, then usage routing — every sentence earns its place. The opening heading line 'Get Shopify Store Collections' is mild duplication of the title, which keeps it from a 5.

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?

There is no output schema, so the description's enumeration of returned fields (id, title, handle, description, image, timestamps) is important and present, as is pagination and limit behavior. Rate limits, auth assumptions, and failure modes are absent, but for a read-only listing tool with annotations the definition is nearly sufficient.

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 url, page, and limit are already documented with examples and ranges. The description only clarifies that the storefront must be public, which is marginal added meaning. Baseline 3 applies when the schema carries the parameter burden.

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 states a specific verb and resource ('Lists collections from any public Shopify storefront URL') and scopes the domain ('public storefront'). It explicitly names the sibling product endpoint as the downstream consumer of the handles it returns, so an agent can distinguish the two tools without reading either schema.

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?

It gives concrete when-to-use context: enumerating category-specific catalogs via the Products endpoint, mapping a competitor's merchandising taxonomy, and tracking collection changes over time. It does not state when *not* to use this tool or what conditions would favor an alternative for the same task, so it stops short of a 5.

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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