get_warehouses
Retrieve a complete list of all warehouse and store locations from your Shopline store for inventory management and order fulfillment.
Instructions
取得所有倉庫/門市據點列表。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a complete list of all warehouse and store locations from your Shopline store for inventory management and order fulfillment.
取得所有倉庫/門市據點列表。
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It does not explicitly state that the operation is read-only or require authentication, but for a simple list retrieval with no parameters, the lack of such details is a minor 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 a single sentence that conveys the tool's purpose without any wasted words. It is front-loaded and efficient.
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?
Given the tool's simplicity (no params, no output schema), the description provides complete information needed for an agent to understand its function. There are no missing contextual details.
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?
With zero parameters, the description correctly implies no inputs are needed. The schema coverage is 100% (no params), so the baseline is 4. The description adds meaning by specifying the returned resource type.
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 retrieves a list of all warehouses/store locations. It uses a specific verb ('get') and resource ('warehouses'), and distinguishes from siblings like 'get_stock_by_warehouse' which focus on stock rather than the list itself.
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 does not provide explicit guidance on when to use this tool versus alternatives. Usage is implied by the tool's purpose, but there is no mention of when not to use it or alternatives for related queries like stock levels.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/asgard-ai-platform/mcp-shopline'
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