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

With no annotations, the description carries the burden. It discloses that the tool returns a framework (not live validation) and specifies the dimensions it contains, which is meaningful behavioral context. It could still state whether thresholds are static or data-derived, but the 'framework' wording already sets that expectation.

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 that packs the input condition, output resource, and three output components with no filler. Every phrase earns its place.

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 low-complexity tool with two documented parameters and an output schema, the description is nearly complete: it covers purpose, input, and return content. The only notable gap is the lack of explicit sibling differentiation, which is minor given the stated framework contents.

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 coverage is 100%, so the parameter descriptions already document 'category' and 'market'. The description only echoes the category input and adds no detail about the 'market' parameter or value formatting, so it stays at the baseline for covered schemas.

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 uses a specific verb ('返回') and resource ('细分市场验证框架') and enumerates the framework's contents (what to validate, thresholds, red flags), so an agent knows what the tool produces. It is distinct from 'score_product_idea' and 'seasonal_launch_calendar', but it does not explicitly contrast itself with 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?

The opening '给定品类' provides a clear trigger condition, so the when-to-use is implied. However, the description offers no guidance on when to prefer this over score_product_idea or when not to use it, leaving the choice among siblings to inference.

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