zentao_get_feedback
Retrieve feedback details from Zentao by providing the feedback ID. Get full information on a specific feedback entry.
Instructions
获取禅道反馈详情
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | 反馈 ID |
Retrieve feedback details from Zentao by providing the feedback ID. Get full information on a specific feedback entry.
获取禅道反馈详情
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | 反馈 ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries full burden. It only states 'get feedback details' but does not disclose read-only nature, error behavior, auth requirements, or any side effects. Minimal behavioral info.
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?
A single sentence that is concise and front-loaded. No wasted text.
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 simple read tool with one parameter, the description is minimally sufficient but lacks context on return details or usage scenarios. It does not explain what 'details' include, making it incomplete for an agent to fully understand the tool's output.
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% (one parameter with a description). The tool description adds no additional meaning beyond '反馈 ID'. Baseline 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 '获取禅道反馈详情' clearly states it retrieves feedback details, using a specific verb and resource. It distinguishes itself from sibling tools like zentao_list_feedbacks (list) and zentao_create_feedback (create).
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 implies usage when a specific feedback ID is known, but lacks explicit guidance on when to use this vs alternatives like zentao_list_feedbacks or when not to use it. No details on prerequisites or context.
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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