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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description usefully adds data provenance ('sourced from the product page's own schema.org Product structured-data block'), which hints at what fields may be missing or stale, but says nothing about auth, rate limits, or caching beyond that.

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 resource and field list, then the parameter note. The long field enumeration is somewhat listy but each item is informative and nothing is padded.

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?

An output schema exists, so the field enumeration in the description is partly redundant, but the provenance note and sku sourcing guidance make the definition self-sufficient for a one-parameter lookup tool. No material gap for correct invocation.

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 description coverage is 100% and there is a single parameter, so the baseline is 3. The description's note that sku is the numeric SKU appearing in bestbuy.com URLs and pages adds a little context but largely restates what the schema field description already says.

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 names the resource (a Best Buy product's normalized detail) and enumerates the fields returned, so the agent knows exactly what it gets. It does not explicitly differentiate itself from siblings like bestbuy_product_reviews or bestbuy_product_related, but the scope is clear enough to infer.

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 reader learns sku comes from bestbuy_category or bestbuy_search results via the schema, so the retrieval pattern is inferable, but the description never states when to call this versus bestbuy_search or the sibling product sub-tools.

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