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

No annotations are provided, so the description carries the full burden. It discloses the filter thresholds, which is useful, but says nothing about ordering (e.g., sorted by drop percentage), result limits, pagination, or whether it is a read-only listing — for a zero-annotation tool this is a notable gap.

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 compact sentence with no filler, and the core filter criteria are front-loaded. Nothing is wasted, though the brevity is also what leaves the gaps elsewhere.

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 annotations, no output schema, and an undocumented parameter, the description should do more work than it does. It never explains result ordering, count, or the category filter, so an agent still lacks information needed to invoke it confidently.

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 0% and the description never mentions the single `category` parameter or its allowed enum values. The enum values are self-describing in the schema, but the description adds no meaning about how category narrows the result set, leaving the parameter semantics undocumented.

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 states a specific verb (列出) and resource (降價/創新低的商品) with concrete thresholds (3% drop, 30-day low), so the agent knows exactly what set is returned. It does not, however, contrast this with siblings like search_products or get_product_price, so differentiation is left to inference.

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?

No when-to-use guidance is given relative to the sibling tools (get_product_price, list_categories, search_products). The criteria describe what is returned rather than when an agent should pick this tool over a general product search, so usage must be guessed.

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