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

With no annotations, the description carries the full burden. It usefully discloses the exact selection thresholds (3% drop, 30-day low), which is real behavioral context, but says nothing about ordering, result limits, pagination, or return shape for a list tool.

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?

A single front-loaded sentence with the criteria stated up front and zero filler. Nothing to trim.

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?

For a simple, low-complexity list tool with no output schema, the core behavior is conveyed adequately. The gap is the undocumented 'category' parameter and the absence of any mention of result formatting or limits.

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?

There is one 'category' parameter with an enum but 0% schema description coverage, and the description never mentions category at all. The description explains the filtering thresholds but leaves the sole parameter's meaning entirely to the enum values.

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+resource ('列出...商品') and sharpens it with concrete selection criteria (≥3% drop today or 30-day low), so an agent knows exactly what this returns. It does not, however, distinguish itself from siblings like search_products or get_product_price, leaving that differentiation implicit.

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 'today / 3% / 30-day low' framing implies the scenario in which this tool is relevant, but there is no explicit when-to-use, when-not-to-use, or reference to an alternative sibling. Usage is inferable but not stated.

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