Seasonal Launch Calendar
seasonal_launch_calendar返回目标站点的季节性需求节奏日历 + 头程/备货前置期,指导「什么时候上架」。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| market | No | 目标站点 US / EU / JP(默认 US)。 | US |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
seasonal_launch_calendar返回目标站点的季节性需求节奏日历 + 头程/备货前置期,指导「什么时候上架」。
| Name | Required | Description | Default |
|---|---|---|---|
| market | No | 目标站点 US / EU / JP(默认 US)。 | US |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does indicate a read-only operation by saying '返回' and describes the output content (calendar + lead times), but it does not mention data sources, freshness, or any limitations. For a simple query tool this is adequate but minimal.
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 front-loads the deliverable and ends with the use case. There is no filler, repetition of schema details, or unnecessary elaboration.
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 only one optional parameter, full schema coverage, and an output schema available, the description provides the essential behavior and purpose. The main gap is the lack of explicit sibling differentiation, but the tool is simple enough that an agent can invoke it correctly based on this description.
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?
The schema already fully documents the single parameter (market) with its default and valid values (US/EU/JP). The description adds no new semantic detail beyond restating '目标站点', so with 100% schema coverage the baseline of 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?
The description uses a specific verb ('返回') and names the deliverable: a seasonal demand rhythm calendar plus lead times, with an explicit goal ('指导什么时候上架'). This clearly distinguishes it from the sibling tools, which focus on niche validation and product idea scoring.
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 phrase '指导什么时候上架' gives a clear intended use case for launch timing, but the description never explicitly contrasts this tool with its siblings or states when not to use it. No exclusions or alternative routing are provided, so usage guidance is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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