review_approve
Approve tasks ready for review in the Kagan AI Orchestration Layer to advance workflow completion.
Instructions
Approve a review-ready task.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Approve tasks ready for review in the Kagan AI Orchestration Layer to advance workflow completion.
Approve a review-ready task.
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states the action without behavioral details. It doesn't disclose permissions required, side effects (e.g., if approval is irreversible), rate limits, or response format. This leaves significant gaps 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, efficient sentence with no wasted words. It's front-loaded and appropriately sized for the tool's apparent simplicity, making it easy to parse quickly.
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 no annotations, no output schema, and low schema coverage, the description is incomplete. It lacks details on behavioral traits, parameter meanings, and expected outcomes, which are crucial for a mutation tool like this. The conciseness comes at the cost of necessary context.
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 input schema has 1 parameter with 0% description coverage, so the description must compensate but adds no parameter information. It doesn't explain what 'task_id' represents or its format. Baseline is 3 due to minimal parameter count, but the description fails to enhance understanding beyond the schema.
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 states the action ('Approve') and target ('a review-ready task'), which clarifies the basic purpose. However, it's vague about what 'review-ready' means and doesn't distinguish this tool from sibling tools like 'review_reject' or 'review_merge', missing specific differentiation.
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 such as 'review_reject' or 'review_merge'. The description implies it's for tasks in a 'review-ready' state, but it doesn't specify prerequisites, exclusions, or context for selection among review-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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