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

Annotations already declare readOnlyHint=true, so the description correctly spends its words on what comes back rather than on safety. It adds genuinely useful behavioral detail the annotations cannot carry: conditional fields (expected date only if on order, basket link only if buyable online) and the structure of graded_options with its own per-unit basket links. Error behavior for an unrecognized model is not covered.

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?

One front-loaded sentence that names the scope first and then enumerates the payload. The long list is dense but each item maps to a distinct field an agent might need, and graded_options gets the extra clause its nested shape warrants.

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?

With no output schema, enumerating return fields is exactly the missing piece the description must supply, and it does so thoroughly, including the conditional presence of order dates and basket links. The remaining gap is what happens on an unknown or discontinued model number.

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 single 'model' parameter already carries a format example (WGB256090GB), so the description can add little. It reinforces that the key is a model number rather than a product ID, which is mildly useful given the openWorldHint=false catalog, but that is baseline-level value.

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 and resource ('Full details of one appliance') and pins the lookup key ('by model number'), which cleanly separates it from search_products and list_* siblings. It stops short of naming the alternative it displaces, so it is clear but not fully differentiated.

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?

Usage is only implied: the phrase 'by model number' signals that this is the follow-up call once a model is known. There is no explicit statement of when to prefer it over search_products, nor any exclusion such as what to do if the model is unknown.

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