task.complete
Mark a task as complete by supplying its ID and an optional note describing the verification or fix.
Instructions
Task를 완료 상태로 변경합니다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Task ID | |
| verification_note | No | 검증 노트 (어떻게 수정했는지) |
Mark a task as complete by supplying its ID and an optional note describing the verification or fix.
Task를 완료 상태로 변경합니다.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Task ID | |
| verification_note | No | 검증 노트 (어떻게 수정했는지) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavioral traits. It only states that the task status changes to completed, but does not mention side effects, reversibility, required permissions, or whether additional conditions (e.g., verification) must be met. This is insufficient for a mutation tool.
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 immediately conveys the core purpose. It is front-loaded and contains no fluff, earning the highest score for conciseness and structure.
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's simplicity, the description is still incomplete. It lacks context about the purpose of 'verification_note' (even though the schema defines it), does not explain what happens after completion (e.g., return value or next steps), and does not relate to sibling tools like task.update_status or task.verify. The agent is left without enough context to use the tool effectively.
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 description coverage is 100%, so the parameters 'id' and 'verification_note' are already well-documented. The description adds no extra semantic information beyond what the schema provides, so the baseline score of 3 is appropriate.
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: changing a task to completed status. It uses a specific verb (변경합니다) and resource (Task), and its intent is unambiguous. However, it does not explicitly distinguish itself from the sibling tool 'task.update_status', which could also modify a task's status, so it falls short of a perfect score.
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?
The description provides no guidance on when to use this tool versus alternatives like task.update_status or task.verify. There is no mention of prerequisites, use cases, or exclusions, leaving the agent without context for tool selection.
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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