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

Beyond the readOnlyHint/openWorldHint annotations, the description discloses the pricing model ($0.002 USDC per successful call via x402 on Base/Solana/Arc), that failed calls are not charged, the pagination size (60 per page) plus total count, the region-driven language/currency behavior, and that the data is unofficial scraped page data subject to change. This is exactly the supplemental context annotations cannot convey.

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?

Single dense paragraph, front-loaded with the resource and returned fields, followed by behavior and cost. Efficient overall, though the long enumeration of return fields partially duplicates the output schema and could be trimmed.

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 agent has everything needed to call it correctly: required search words, paging model with per-page size and total count, region/currency behavior, cost and payment rail, and a caveat about data reliability. The output schema handles return-value detail, so the description is complete for this tool's complexity.

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 the schema already documents both q (2-80 chars) and page (1-60, default 1). The description adds the region-follows-caller behavior and the guarantee that a currency code is always returned, but contributes little about the two parameters themselves. Baseline 3 is appropriate.

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 — 'AliExpress product search from the public search page' — and enumerates what is returned (product ID, title, sale/original price, discount, rating, units sold, image, URL). The platform qualifier makes it reasonably distinguishable from the dozens of other ecommerce search siblings, though it does not explicitly name any of them.

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 implied by the description (search AliExpress for products) but there is no explicit when-to-use vs when-not, no guidance on choosing it over sibling sources like Lazada or Trendyol, and no prerequisites mentioned. The 'unofficial page data, may change' note is a useful caveat but not routing guidance.

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