查询专家可约时间
list_expert_slotsRetrieves available appointment slots for a selected expert, including dates, time periods, remaining slots, and prices.
Instructions
选择专家后返回可预约日期、上午/下午、余号和价格。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| expertId | Yes |
list_expert_slotsRetrieves available appointment slots for a selected expert, including dates, time periods, remaining slots, and prices.
选择专家后返回可预约日期、上午/下午、余号和价格。
| Name | Required | Description | Default |
|---|---|---|---|
| expertId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses that the tool queries and returns availability data but does not state that it is read-only, requires no side effects, or mention any behavioral traits like authentication or rate limits.
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 a single sentence that efficiently communicates the tool's purpose and key outputs without unnecessary words. It is front-loaded with essential information.
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 simple list tool with one parameter and no output schema, the description adequately covers the return type (dates, AM/PM, slots, price). Minor gap: no details on output structure or how to interpret the fields, but overall sufficient for agent usage.
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 has 0% coverage for the single parameter 'expertId'. The description adds context by indicating it is the expert's identifier after selection, but does not provide format or source details. Baseline 3 is appropriate as description partially compensates.
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 clearly states the tool lists available appointment slots (dates, AM/PM, remaining slots, price) after selecting an expert. The verb 'list' and resource 'expert_slots' match the function, and it distinguishes from siblings like 'list_available_experts' which lists experts.
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 description implies usage after selecting an expert but does not explicitly state when to use this tool over siblings, nor does it mention prerequisites or limitations. It lacks explicit guidance on when not to use it.
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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