Stop thanks coupon
rms_thanks_coupon_stopStop a Rakuten thanks coupon by its ID to deactivate it and prevent further usage.
Instructions
サンキュークーポン停止
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| thanks_coupon_id | Yes |
rms_thanks_coupon_stopStop a Rakuten thanks coupon by its ID to deactivate it and prevent further usage.
サンキュークーポン停止
| Name | Required | Description | Default |
|---|---|---|---|
| thanks_coupon_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, but it merely states the action 'stop' without disclosing side effects, reversibility, permissions, or behavior for invalid IDs. Agents cannot predict what 'stopping' entails.
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 short Japanese phrase, but it under-specifies the tool's purpose and behavior. This is not conciseness but omission, leaving the agent without necessary context.
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 mutation tool with no annotations and no output schema, this description fails to cover prerequisites, effects, or usage context. The tool is simple but still requires basic behavioral explanation, which is entirely absent.
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 one required parameter (thanks_coupon_id, string) with 0% description coverage. The description does not mention or explain this parameter, relying entirely on its self-explanatory name and providing no additional semantics.
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 'サンキュークーポン停止' directly translates to 'Thanks coupon stop', restating the tool title without adding specificity or scope. It does not distinguish the 'stop' action from sibling operations like rms_delete_coupon or rms_thanks_coupon_update.
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 usage context or guidance is provided. The description does not indicate when to use this tool instead of alternatives such as rms_delete_coupon, rms_thanks_coupon_update, or rms_cancel_coupon-related tools.
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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