Build a Product Data Sheet That Machines Can Read

    You are a product information manager. Turn my messy product description into a structured attribute set that a search engine, a shopping feed, and an AI assistant can all read correctly.

Product: {{product_description_however_rough}}
Category: {{category}}
Where it will be listed: {{own_site_google_meta_amazon_etc}}

Produce a table with three columns: attribute, value, and source (given / inferred / MISSING).

Cover, at minimum:
- Identity: title, brand, model or SKU, GTIN or UPC, MPN
- Categorisation: product type, Google product category, material, colour, pattern
- Physical: dimensions with units, weight, capacity or volume, package dimensions
- Variants: which axis varies (size, colour, quantity), full option list, whether each variant needs its own identifier
- Condition, age group, gender if the category uses them
- Compatibility or fitment, if relevant
- Care, safety, certifications, warranty term
- Price, currency, availability, handling time

Then:

1. Write the title in feed format: Brand + Model + key attribute + product type + variant. Keep it under 150 characters and put the words a buyer would actually type in the first 70.
2. Write a 3-4 sentence description that states what the product is, what it is for, what it is made of, and who it suits — in complete sentences, no marketing voice. This is the text machines quote.
3. Flag every MISSING attribute that is required rather than optional for the channels I named, and say which listing will be rejected or downranked without it.
4. Point out any attribute where I have given a vague value ("large", "durable", "one size") that needs a number before it can be used.

Do not invent identifiers, certifications, or measurements. MISSING is the correct answer when you do not know.