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maxiomus

MCP Shopify Admin Server

by maxiomus

Plan Collection Creation

collection_create_plan

Plan a new Shopify collection, optionally automated via rule set. If Shopify refuses to convert a manual collection, create an automated twin to point downstream systems to it.

Instructions

Plan creation of a new collection, optionally AUTOMATED via a rule_set. Use this when Shopify refuses to convert an existing manual collection: create an automated twin, then point downstream systems at it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
storeYesStore name
titleYesCollection title
handleNoCollection handle (auto-generated if omitted)
rule_setNoRule set. Omit to create a manual collection.
descriptionHtmlNoDescription (HTML)
response_formatNoResponse formatjson
Behavior2/5

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

Annotations indicate a non-read-only, open-world, non-idempotent operation, but the description does not clarify what side effects 'plan creation' has. The phrase 'create an automated twin' may mislead an agent into thinking this tool directly creates a collection rather than producing a plan. No mention is made of how a plan is persisted, returned, or later executed.

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?

The description is only two sentences and front-loads the core purpose. The second sentence is a bit meandering with the colon and 'point downstream systems at it,' but overall it is efficient and readable.

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 complex nested rule_set schema, no output schema, and the existence of separate preview/execute siblings, the description omits necessary lifecycle context such as whether a plan ID is returned, how to proceed to execution, or what the planning step actually does. It only covers a narrow use case and leaves agents guessing about the tool's place in the workflow.

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 each parameter already has a description. The tool description adds the phrase 'optionally AUTOMATED via a rule_set,' which reiterates the schema's note that omitting rule_set creates a manual collection, but it does not add meaningful semantic depth 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 clearly identifies the tool as planning the creation of a new collection with an optional automated rule_set, and the 'Plan' wording distinguishes it from collection_create_preview and collection_create_execute. However, 'Plan creation' is a mildly awkward phrase and the use-case sentence could blur the distinction between planning and actually creating.

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?

Explicit guidance is provided: 'Use this when Shopify refuses to convert an existing manual collection: create an automated twin, then point downstream systems at it.' This gives a concrete scenario, though it does not explicitly mention when not to use it or name alternative tools.

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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