soundmagic_release

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

No annotations are provided, so the description carries the full burden. It discloses two concrete effects ('Release GPU memory' and 'stop the scheduler') and a timing guarantee. However, it does not mention whether the call blocks until jobs finish, whether it is idempotent, or what happens if invoked while jobs are still running.

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, well-structured sentence with no filler. The primary action ('Release GPU memory') is front-loaded, followed by the secondary action and the timing condition. Every word earns its place.

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 parameterless cleanup tool, the description covers the action, the resource affected, and the lifecycle timing. It omits details like blocking behavior, idempotency, and return values, but the low complexity means these are not critical gaps.

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 zero parameters, so no parameter documentation is needed. The baseline for a parameterless tool is 4, and the description does not need to compensate for missing parameter details.

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 specific verb and resource ('Release GPU memory') and a precise condition ('after queued/running jobs finish'). It clearly distinguishes itself from siblings such as soundmagic_cancel by implying a graceful, post-completion shutdown rather than an immediate cancellation.

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?

It provides clear context for when to invoke the tool: after queued/running work completes. It does not explicitly name alternatives or state when not to use it, but the lifecycle timing is evident and sufficient for this zero-parameter cleanup operation.

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