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tzangms

shopline-mcp

by tzangms

list_agents

Retrieve the list of agent accounts configured for your store to review roles and permissions for customer service and sales operations.

Instructions

取得商店的代理人帳號清單。

【用途】 查看商店目前設定的代理人帳號,代理人通常用於 客服、業務等特定角色的操作授權。適合確認代理人 配置或了解有哪些外部帳號有商店操作權限。

【呼叫的 Shopline API】

  • GET /v1/agents

【回傳結構】 dict 含 total, agents[]。 每個 agent 包含 id, name, email, role, enabled, created_at 等。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the burden. It implies a read-only operation ('查看') and provides the API endpoint (GET /v1/agents), but it doesn't explicitly state side effects, permissions, or rate limits. The return structure is detailed, which adds some transparency, but safety characteristics are not explicitly stated.

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

Conciseness5/5

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

The description is well-structured with clear sections for purpose, API call, and return structure. It is concise and front-loaded with the main purpose, and every sentence adds value without unnecessary fluff.

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

Completeness4/5

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

Given that this is a simple zero-parameter list tool with no output schema, the description provides a solid return structure and API endpoint. It lacks details like pagination or error behavior, but for a basic list operation, it is reasonably complete.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4. The description doesn't need to explain parameters; it correctly focuses on the output. No additional parameter semantics are needed.

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

Purpose5/5

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

The description opens with a specific verb and resource: '取得商店的代理人帳號清單' (get list of agent accounts for the store). It clearly states the tool's function and distinguishes it from sibling tools by focusing on agents, not other entities.

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

Usage Guidelines4/5

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

The description provides a clear use case: to confirm agent configuration or understand which external accounts have store operation permissions. It gives context for when to use the tool, though it doesn't explicitly name alternatives or exclusions.

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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