add_comment
Add a comment to a ClickUp task using its task ID and the comment text.
Instructions
タスクにコメントを追加します。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | タスクID | |
| comment_text | Yes | コメント内容 |
Add a comment to a ClickUp task using its task ID and the comment text.
タスクにコメントを追加します。
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | タスクID | |
| comment_text | Yes | コメント内容 |
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. It only states what the tool does, not side effects, permissions, or return behavior. For a mutation tool, this is insufficient.
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, concise sentence that is front-loaded and easy to parse. It contains no redundant information.
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?
Although the tool is simple, the description is minimal. There is no output schema, and the description does not explain return values, errors, or any post-add behavior, leaving the agent without full context for a complete operation.
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 description coverage is 100%, so the schema already documents both parameters. The tool description adds no additional meaning beyond the schema's simple labels, warranting the baseline score of 3.
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?
Description clearly states the action ('Add a comment') and the resource ('to a task'). It is specific and unambiguous, but does not explicitly distinguish from sibling tools like get_task_comments, though the verb 'add' implies creation.
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, nor any prerequisites or contextual cues. The usage is only implied by the basic verb-object structure.
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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