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Create Product

meta_create_product

Add a product to a catalog with required details like name, price, and availability. Returns the created product ID.

Instructions

Adds a product to a catalog.

Args:

  • catalog_id (string): The catalog ID

  • name (string): Product name

  • description (string): Product description

  • price (number): Price in cents

  • currency (string): Currency code (default "USD")

  • availability (enum): "in stock", "out of stock", "preorder", "available for order"

  • image_url (string): Product image URL

  • url (string): Product page URL

  • brand (string, optional): Brand name

  • category (string, optional): Product category

  • retailer_id (string): Your unique product ID

Returns the created product ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
catalog_idYesProduct catalog ID
nameYesProduct name
descriptionYesProduct description
priceYesPrice in cents
currencyNoCurrency code (default USD)USD
availabilityYesProduct availability
image_urlYesProduct image URL
urlYesProduct page URL
brandNoBrand name
categoryNoProduct category
retailer_idYesYour unique product ID
response_formatNoOutput format: 'markdown' for human-readable or 'json' for machine-readablemarkdown
Behavior4/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, aligning with the creation action. The description adds that it returns the created product ID, providing useful behavioral context beyond annotations.

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 front-loaded with a clear purpose but then becomes verbose by listing all parameters in a bullet list, which largely duplicates the input schema. It could be more concise.

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?

Given the 12 parameters, 8 required, and no output schema, the description covers all inputs and states the return value (product ID). It is functionally complete but lacks context on prerequisites or error handling.

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%, so baseline is 3. The description repeats parameter details already in the schema without adding new meaning or clarifying relationships between parameters.

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 'Adds a product to a catalog.' This is a specific verb+resource combination that distinguishes it from sibling tools like meta_create_ad or meta_create_campaign.

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?

The description implies use when needing to add a product to a catalog, which is clear. However, it does not explicitly state when not to use it or mention alternatives like meta_update_product for updates.

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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