Kagan - AI Orchestration Layer

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states this is a merge operation but doesn't disclose critical behavioral traits: whether this is destructive (merges typically are), what permissions are required, whether it triggers CI/CD, what happens on failure, or what the output looks like. For a mutation tool with zero annotation coverage, this is a significant gap.

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 zero wasted words. It's appropriately sized for a simple tool and front-loads the core action immediately.

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 mutation tool with no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It doesn't explain what 'approved' means operationally, what happens during the merge, potential side effects, error conditions, or return values. Given the complexity of merge operations in version control contexts, this leaves too many unknowns.

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 0%, so the description must compensate. It doesn't mention the 'task_id' parameter at all, nor does it explain what format it expects or where to find it. The description adds no parameter semantics beyond what's minimally implied by context ('approved task').

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 ('merge') and target ('an approved task into its base branch'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from sibling tools like 'review_abort_rebase', 'review_rebase', or 'review_approve', which all operate on similar review/task contexts but perform different actions.

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 context ('approved task') but provides no explicit guidance on when to use this tool versus alternatives like 'review_rebase' or 'review_approve'. There are no prerequisites mentioned (e.g., task must be in approved state) or exclusions for when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.