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

readOnlyHint=true already covers the safety profile, so the bar is lower; the description adds genuinely new behavior, namely the endpoint shape and the fallback to a productId filter when the resource URL differs. It also discloses the breadth of the return payload, which matters since no output schema exists. It stops short of noting auth requirements or not-found behavior.

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?

Two sentences, front-loaded with the return payload and scoped with the endpoint detail. The dense field enumeration earns its place because it substitutes for a missing output schema, and there is no filler.

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?

For a single-parameter read with no output schema, the description usefully enumerates what comes back and explains the fallback resolution of the id. It is nearly complete; error/not-found behavior and auth prerequisites are the remaining omissions, but those are minor for a read-only lookup.

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?

With one parameter at 100% schema coverage, the schema already documents product_id (including the 'as shown by finale_list_products' hint). The description adds nothing about id format or edge cases beyond the schema, so the baseline 3 applies.

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?

States a specific verb+resource ('Get a product', 'One product in full') and enumerates the fields returned (ids, UPC/ASIN, dimensions, cost, suppliers, price list, custom fields), which clearly separates it from a bare list tool. However, it never explicitly contrasts with the closest siblings (finale_get_product_stock, finale_list_products), so differentiation is left partly to inference.

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?

'One product in full' implies the use case — fetch complete master data for a single product by id — but there is no explicit when-to-use, when-not-to-use, or named alternative (e.g. use finale_get_product_stock for quantities, finale_list_products to enumerate). Usage is implied rather than stated.

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