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AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

products_create_product_collection

Create a product collection in GoHighLevel by providing a name, slug, and optional SEO and image details to organize products for your business.

Instructions

Create Product Collection

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seoNoThe metadata information which will be displayed in SEO previews
nameYesName of the Product Collection
slugYesSlug of the Product Collection which helps in navigation
altIdNoLocation Id Defaults to GHL_LOCATION_ID when omitted.
imageNoThe URL of the image that is going to be displayed as the collection Thumbnail
altTypeNoThe type of alt. For now it is only LOCATION Defaults to GHL_LOCATION_ID when omitted.
collectionIdNoUnique Identifier of the Product Collection, Mongo Id
Behavior2/5

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

Annotations already cover readOnlyHint=false and destructiveHint=false, indicating a safe, non-destructive write operation. The description adds no extra context about side effects, idempotency, or requirements beyond the verb 'create'. With annotations present, the description fails to provide additional behavioral value.

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

Conciseness3/5

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

The description is extremely concise at three words, which is efficient. However, it under-specifies the tool's function, lacking any additional context that might be expected for a multi-parameter API. While not verbose, it is too minimal to be considered well-structured.

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?

With 7 parameters, a nested seo object, and no output schema, the description does not explain return values, success criteria, or any constraints beyond required fields. It is incomplete for an agent to call this tool effectively without additional documentation.

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 has 100% parameter description coverage, including explanations for name, slug, seo, and altId. The description itself does not add any parameter-related meaning, so it relies entirely on the schema. This meets the baseline of 3, but no enhancement.

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 'Create Product Collection' clearly states a specific verb and resource, distinguishing it from other products tools like products_create_product. However, it does not elaborate on what a product collection is or its scope, leaving some ambiguity but enough clarity for a basic agent.

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 provided on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or sibling tools like products_update_product_collection or products_delete_product_collection. An agent must infer usage solely from the resource name.

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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