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asgard-ai-platform

mcp-buy123-vendor

list_abnormal_orders

List abnormal orders from the vendor portal with filters for order ID, product, anomaly type, and processing status to identify and resolve issues.

Instructions

列出異常訂單 (GET /v1/abnormal-orders).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo頁碼 (1-based)
sizeNo每頁筆數
typeNo異常類型
order_idNo訂單 ID
product_idNo商品 ID
is_processedNo是否已處理
product_nameNo商品名稱 (模糊搜尋)
Behavior2/5

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

No annotations are provided, and the description only says 'list', offering no details about pagination, filtering behavior, return format, or side effects. The description carries the full burden but fails to disclose any behavioral traits beyond the obvious read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no fluff, which is efficient. It could arguably be too minimal, but it earns its place by stating the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 optional parameters, no output schema, and no annotations, a one-line description is insufficient. It doesn't explain what constitutes an 'abnormal order', return conventions, or default filter behavior, so the agent lacks context to use it effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all 7 parameters, so the baseline is 3. The description adds no parameter information, but the schema already handles it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists abnormal orders and provides the HTTP endpoint, making the purpose specific. However, it does not add any additional scope or differentiate from sibling list_* tools beyond the resource name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives such as list_returns or list_shipments, and no exclusions or prerequisites.

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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