Get Canadian Tire product by SKU

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

No annotations are provided, so the description carries the behavioral disclosure burden. It describes what the tool returns (price, stock, etc.) but does not mention any side effects, authentication needs, rate limits, or latency. It is adequate but not enhanced.

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

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

The description is a single long sentence that packs many details. It is still concise and front-loads the main purpose, but could be slightly easier to parse if broken into multiple sentences. Minor readability trade-off.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of output schema, the description does a good job listing the return fields (name, brand, price, stock, fulfillment, etc.). It does not cover output format or error handling, but the listed detail is sufficient for most decision-making.

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

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

Schema coverage is 100% and the description adds context beyond the schema, e.g., clarifying that sku is a product code from ct_search results and that postalCode overrides storeId. This adds value without being verbose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fetches a full product card for a Canadian Tire SKU, listing many specific data points. It distinguishes itself from sibling tools like ct_search (search) and ct_store_availability (stock check) by focusing on comprehensive single-product details.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when you have a SKU and need complete product info for a specific store. It mentions 'given a store' but does not explicitly state when not to use or how to obtain the SKU (though the SKU parameter example references ct_search results). Good but could be more explicit about prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.