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

Annotations already cover readOnly/idempotent/non-destructive, so the bar is lower, and the description still adds genuine domain context: tiered pricing must not be flattened, requires_confirmation applies only to a definitive requested-quantity quote, and catalog_price may be reported with its published conditions and source. Those are non-obvious behavioral rules an agent would otherwise get wrong. It loses a point for leaving requires_confirmation and available_data.catalog_price undefined in prose.

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?

Purpose is front-loaded in the first sentence and the four sentences carry no filler, but the later sentences are dense with undefined field references (requires_confirmation, available_data.catalog_price) that make them hard to parse out of context. It is appropriately sized, not appropriately clear.

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 an output schema present, the description rightly doesn't explain return values, and the read-only annotations remove the need for a safety story, so the remaining burden is small. What is missing is the product_id source and any explicit routing versus the two sibling tools, leaving the definition adequate but not complete.

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?

The tool has one required parameter with 0% schema description coverage, so the description must compensate and it does not mention product_id at all. It never says whether the integer is an internal product ID obtained from offer-search-products or something else, which is the single ambiguity most likely to cause a wrong call.

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 opening is a noun phrase enumerating what comes back ("product details, description, price interpretation and translations") rather than a verb+resource statement, but it does identify the resource. It never names the sibling offer-get-product-price, so an agent must infer the split between 'product + pricing rules' and 'price lookup', which is exactly the confusion the sibling set invites.

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?

There is real guidance on how to use the result ("Never treat the lowest tier as universal", don't multiply catalog_price into an unconfirmed total), but it is all about interpreting output, not about when to pick this tool over offer-get-product-price or offer-search-products. Usage is implied rather than stated, and no alternatives or exclusions are named.

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