skylight_approve_auto_creation

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

The description reveals the core behavioral consequence — draft events become real calendar events. However, with no annotations, it leaves important operational traits undisclosed, such as whether approval is reversible, whether drafts are removed afterward, or what permissions are required.

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, front-loaded sentence that conveys the action and the state change with no filler. It earns its place and is immediately scannable.

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?

This is a mutating approval action with no annotations and no output schema, so the definition should do more to support safe invocation. Missing pieces include when to use it in the auto-creation workflow, whether it is reversible, and the purpose of frameId.

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 already documents id and ids, so the description adds little parameter-level meaning. The relationship between the required id and ids is unexplained, and frameId has no schema or description-level documentation.

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 a precise verb ('Approve') and resource ('AI-drafted events') and specifies the outcome: turning drafts into real calendar events. This clearly distinguishes it from generic create_event and from companion tools like skylight_undo_auto_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 given for when to use this tool rather than list_auto_creation_drafts, undo_auto_creation, or create_event. The only usage signal is the verb itself, with no workflow context, prerequisites, or exclusions.

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