zengzhi_report_orders
列出主人的深度盘点订单(最近 50 条:单号、类别、状态、关联展示页、自报价)。需 API Key。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
列出主人的深度盘点订单(最近 50 条:单号、类别、状态、关联展示页、自报价)。需 API Key。
| 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?
With no annotations provided, the description carries the full burden and does disclose two behaviorally important facts: the result is capped at the latest 50 records, and an API Key is required for access. It does not explain pagination or how to obtain older records, which is the remaining 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?
A single compact sentence with the action front-loaded and no filler. The parenthetical field list earns its place by telling the agent what to expect.
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 zero-parameter list tool with no output schema and no annotations, the description covers the essentials: what is listed, how many, which fields, and the auth requirement. Only pagination/older-record access is unaddressed.
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 tool takes zero parameters, so the schema has nothing to document. The description instead enumerates the returned fields (单号、类别、状态、关联展示页、自报价), which is useful context even though it is not strictly parameter documentation.
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 (列出) and resource (深度盘点订单), and qualifies the scope as the most recent 50 records with the fields returned. It implies a list-vs-detail distinction against the sibling zengzhi_report_detail, but never names an alternative explicitly.
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?
There is no explicit when-to-use / when-not-to-use guidance or named alternative. However, the scoping detail (主人's own orders, most recent 50) implicitly tells the agent what scenario this fits.
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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