run_spark
Triggers an AI Spark action on the given content, using the specified Spark ID.
Instructions
Spark(AIボタン)をCLIから実行
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sparkId | Yes | Spark ID | |
| content | Yes | 処理対象のコンテンツ |
Triggers an AI Spark action on the given content, using the specified Spark ID.
Spark(AIボタン)をCLIから実行
| Name | Required | Description | Default |
|---|---|---|---|
| sparkId | Yes | Spark ID | |
| content | Yes | 処理対象のコンテンツ |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does not disclose behavioral traits such as whether the execution is synchronous, what side effects occur, what the output or response is, or any error handling. This is insufficient for a tool that triggers an action.
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 very concise at one short sentence. However, it lacks structure (e.g., no bullet points, no separation of key info) and is borderline under-specified. It is not verbose, but could benefit from slightly more detail without losing conciseness.
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?
The description does not provide enough context for a tool with two required parameters and no output schema. It does not explain the return value, the effect of execution, or any potential delays. Completeness is lacking given the action-oriented nature of the tool.
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 coverage is 100% (both parameters have descriptions). The description does not add any additional meaning beyond what the schema already provides. It does not explain the format or constraints of the parameters, but the schema itself is adequate.
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 action ('execute') and the resource ('Spark (AI button)') and indicates it's performed from the CLI. It distinguishes from siblings like 'list_sparks' by implying execution rather than listing. However, it could be more specific about what Spark execution entails.
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 is provided on when to use this tool versus alternatives. There is no mention of prerequisites, context, or when not to use it. The description only states the basic action without any conditional advice.
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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