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itswadesh

kitcommerce-mcp

by itswadesh

create_product

Create a new product in your store, specifying pricing, SKU, stock, category, and images.

Instructions

Create a new product. Common fields: name, slug, price, mrp, sku, stock, active, description, categoryId, images (string[]).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesFields for the new product. Common fields: name, slug, price, mrp, sku, stock, active, description, categoryId, images (string[]). Call get_product on an existing record to see the full shape.
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It only states 'Create a new product' and lists common fields, but does not disclose whether permissions are needed, what the return value is, side effects, or validation behavior. This is insufficient for a mutation tool.

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

Conciseness5/5

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

The description is compact, two sentences, with the key verb and purpose up front. Every sentence provides value without unnecessary filler.

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?

There is no output schema, and the description does not mention what the tool returns or any constraints or prerequisites for creating a product. The hint to call get_product helps discover the full field shape, but for a create operation, return value and required fields should be clarified.

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% and the schema description is essentially identical to the tool description. The description adds no additional meaning beyond what the schema already provides for the 'data' parameter, so the baseline score of 3 applies.

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 starts with 'Create a new product', which clearly states the verb and resource. It also lists common fields, distinguishing it from sibling tools like update_product and delete_product.

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 context is clear: this is for creating a new product. The sibling list includes update_product and delete_product, making the intended use obvious. However, there is no explicit 'when not to use' or mention of alternatives.

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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