店家資訊
get_shop_info週末不賣甜點的取貨地點、平假日取貨時段、付款與訂購流程、改期取消規則、尺寸對照。回答「在哪裡拿、怎麼訂、怎麼付」先呼叫這個。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_shop_info週末不賣甜點的取貨地點、平假日取貨時段、付款與訂購流程、改期取消規則、尺寸對照。回答「在哪裡拿、怎麼訂、怎麼付」先呼叫這個。
| 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 behavioral burden. It discloses the tool's informational scope and implies a read-only lookup, but it does not explicitly state that the tool has no side effects, whether the information is static, or if any authentication or external access is required. For a zero-parameter info retrieval tool this is a minor but real 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?
The description is two compact sentences: the first front-loads the information categories, and the second gives a concrete usage pointer. Every phrase earns its place, and there is no redundant wording. The phrase '週末不賣甜點的' is slightly ambiguous but does not add significant length.
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 tool with no output schema, the description adequately covers what the tool returns and when to call it. It lists the main content areas and the question types it answers. It does not describe the exact return structure or update frequency, but that is a minor omission given the tool's simplicity.
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 has zero parameters, so there is no parameter semantics for the description to clarify. Baseline for 0 params is 4, and the description correctly says nothing about parameters.
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 enumerates the resource's content: pickup location, pickup times, payment/ordering flow, reschedule/cancellation rules, and size chart, making it clear this is a shop-info retrieval tool. It distinguishes from siblings by the cue '回答「在哪裡拿、怎麼訂、怎麼付」先呼叫這個', though it doesn't explicitly name the alternative tools. The verb is implied by the tool name rather than stated, but the resource scope is precise.
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?
It explicitly directs the agent to call this tool first when answering questions about where to pick up, how to order, and how to pay. This gives clear invocation context. However, it does not state when not to use it or mention sibling alternatives such as get_availability or place_order.
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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