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product_list

Retrieve product listings from your Gomag store with filters for page, SKU, category, brand, and more.

Instructions

List products from the Gomag store.

Parameters

page : Page number (pagination). limit : Results per page (1–100). id : Filter by internal product ID. sku : Filter by product SKU/code. category : Filter by category ID. brand : Filter by brand ID. updated : Filter products modified on/after this date (YYYY-MM-DD). add_versions : Include product variants/versions (true/false). include_files: Include attached files (true/false). include_videos: Include attached videos (true/false). promo_tag : Filter by promotional tag key (e.g. "new", "recommended"). view : Language code for localised fields (e.g. "ro", "en", "hu").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
limitNo
idNo
skuNo
categoryNo
brandNo
updatedNo
add_versionsNo
include_filesNo
include_videosNo
promo_tagNo
viewNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must convey safety. The verb 'List' strongly implies a read-only operation, but the description does not explicitly state that it does not modify data or disclose any side effects, authentication, or rate limits.

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 begins with a short, direct sentence followed by a clean parameter list. It is well-organized and free of fluff, though the table header 'Parameters ----------' could be omitted for even tighter structure.

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?

With 12 parameters and no annotations, the description logically explains each filter. Since an output schema exists, it need not detail return values. The description is adequately complete for a listing tool, though it could mention pagination behavior or typical response structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema provides no descriptions (0% coverage), but the description compensates fully by explaining each parameter's purpose, including type constraints (e.g., page number, limit range 1–100, date format YYYY-MM-DD, boolean toggles, language code). This adds significant value beyond the raw schema.

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 clearly states the verb 'List' and the resource 'products from the Gomag store'. It is concise and distinct from sibling tools that create, update, or delete products.

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 listing products but provides no explicit guidance on when to use this tool over alternatives, nor does it specify when not to use it. The parameter list gives filtering options but lacks comparative 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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