get_payout
Retrieve sales summary and payout history from your Alog account to monitor earnings and transaction records.
Instructions
売上サマリーと振込履歴を取得
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve sales summary and payout history from your Alog account to monitor earnings and transaction records.
売上サマリーと振込履歴を取得
| 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 carries full burden for behavioral disclosure. It mentions 'retrieve' (read operation), but lacks details on auth requirements, data freshness, side effects, or rate limits. For a simple getter, the transparency is minimal.
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, concise and front-loaded with the action. No unnecessary words. It earns its place despite brevity.
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 has 0 parameters, no output schema, and no annotations, the description is adequate for basic understanding. However, it lacks details on return format, pagination (if any), or data scope, leaving the agent with incomplete context for invocation.
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 0 parameters and 100% schema description coverage, the baseline is 4. The description adds meaning by specifying what data is returned ('sales summary and transfer history'), which goes beyond the empty schema.
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 it retrieves sales summary and transfer history, using a specific verb ('取得' = get) and resource ('売上サマリーと振込履歴'). While not explicitly differentiating from siblings, no other sibling targets payout info, so purpose is distinct enough.
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?
No guidance on when to use this tool vs alternatives. The description implies it's for payout data retrieval, but does not specify prerequisites, context, or exclusions. Users must infer usage from the tool name.
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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