unload_pipeline

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

No annotations are provided, so the description carries the full disclosure burden. It does state the meaningful side effect (GPU memory is freed), but omits whether the call is idempotent, what happens if no pipeline is loaded, or whether the pipeline can be reloaded afterward.

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 names the action, the target, and the outcome with zero filler. Nothing to trim and nothing buried.

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 zero-parameter, no-output-schema lifecycle tool, the description covers the essential contract. The only gap is behavioral edge cases (no-op/idempotency, error when nothing is loaded) that no structured field supplies.

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 tool takes zero parameters, so there is nothing for the description to disambiguate. The baseline of 4 applies; the description correctly implies no arguments are needed.

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?

Specific verb ('Unload') + resource ('the Pixal3D pipeline') + the effect ('free GPU memory'), which cleanly distinguishes it from the load_pipeline sibling. It stops short of naming cleanup_memory or get_memory_status, so differentiation is implicit rather than explicit.

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?

Usage is implied: unload when you are done with the pipeline and want GPU memory back. But with siblings like cleanup_memory and get_memory_status present, the description never says when to prefer this over those alternatives, nor whether a pipeline must be loaded first.

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