check_pickup_availability
今この店が受取注文(テイクアウト)を受け付けているか、最短の受取時刻、店の連絡先を返す。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tenant_id | No | 店舗ID(省略時は既定店) |
今この店が受取注文(テイクアウト)を受け付けているか、最短の受取時刻、店の連絡先を返す。
| Name | Required | Description | Default |
|---|---|---|---|
| tenant_id | No | 店舗ID(省略時は既定店) |
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 behavioral burden. It usefully discloses the return contents (availability status, earliest pickup time, contact info), which is valuable given there is no output schema, but it says nothing about error cases, whether the result is cached, or any permission requirements.
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, front-loaded sentence that packs the three return values without filler. It is efficient, though cramming three distinct outputs into one clause slightly reduces scannability.
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, low-risk read tool with no annotations and no output schema, the description covers the essential return values and the sole parameter is fully documented in the schema. What is missing is usage routing, which is a guidance gap rather than a completeness gap.
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?
Schema description coverage is 100%, with tenant_id documented (including the default-store behavior when omitted). The description adds no further meaning about tenant_id, so the baseline of 3 applies since the schema does the work.
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 (返す) with concrete resources: whether the store currently accepts pickup orders, the earliest pickup time, and contact info. This is clear and non-tautological, though it does not explicitly distinguish itself from siblings like place_pickup_order or find_stores.
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 or when-not-to-use guidance, nor any mention of alternatives. The name hints it is a pre-order availability check, but the description never routes the agent relative to place_pickup_order or find_stores, so usage is left entirely to inference.
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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