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Get RONA product by SKU

rona_product

Retrieve complete product details for a RONA SKU including name, brand, description, image, rating, barcode, category, URL, and online availability.

Instructions

Fetch the full product card for a RONA SKU (item number): name, brand, model, description, image, rating, barcode, category path, URL, and online availability. Note: RONA does not expose unit price or per-store stock through its public APIs, so price is null.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuYesProduct SKU / item number, e.g. '00277649' (from rona_search results).
langNoResponse language. Default 'en'.
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses that price is null and why, and lists output fields. However, it does not mention authorization, rate limits, or behavior on missing SKUs.

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?

Two sentences: first front-loads purpose and output fields, second adds a critical caveat. No wasted words.

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?

For a tool with 2 parameters and no output schema, the description lists fields and a caveat. It could detail return format but is sufficient given the simplicity.

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

Parameters4/5

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

Schema description coverage is 100% (both sku and lang described). The description adds context: sku example from rona_search results and lang default, providing meaning beyond the 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 tool fetches the full product card for a RONA SKU, listing specific fields (name, brand, model, etc.). This distinguishes it from sibling tools like rona_search (search) and rona_store_availability (store stock), providing a specific verb and resource.

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 after a search by referencing sku from rona_search results. It notes limitations (price null, no per-store stock) but does not explicitly state when not to use or name 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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