compare_products

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

The description goes well beyond the annotations by disclosing the exact request pattern: one price request, one availability request, and one review-statistics request per product at approximately 2 seconds each. It also exposes the per-product result fields including the not-sold flag, prepayment flag, and whether the card merges several models. This is strong behavioral context beyond the read-only/idempotent hints.

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 compact and front-loaded with the core purpose. The second paragraph lists useful behavioral and field details without excessive elaboration. It could be slightly tighter by moving some field enumeration to the output schema, but it remains efficient and readable.

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 rich annotations, full schema coverage, and presence of an output schema, the description covers the essential operational facts: batching, latency, and returned attributes. It is slightly less complete on when to choose this tool over siblings, but for actually invoking it correctly, the needed context is present.

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%, so the baseline is 3. The input schema already explains that products are codes, GUIDs, or URLs with a max of 24, and city is a DNS shop location or GUID. The description adds little parameter-level meaning beyond restating the 24-product limit, so it does not elevate above baseline.

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 opens with a clear verb and resource: 'Live side-by-side offers for up to 24 DNS products.' It makes the multi-product comparison intent obvious and distinguishes itself from single-item siblings like get_product or get_reviews, though it does not explicitly name those alternatives.

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 the use case: compare up to 24 DNS products at once and receive aggregated pricing, availability, and review statistics. However, it never states when not to use this tool or when to prefer search_products, get_product, get_reviews, or get_price_history instead. Usage guidance is present only implicitly.

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