unload_model

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

Description discloses the main effect (freeing memory) and default behavior with optional provider, but does not mention potential side effects (e.g., if model is in use) or reversibility. No annotations provided, so some burden remains unaddressed.

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?

Two sentences, zero waste, front-loaded with the action. Every word serves a purpose.

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 low complexity and no output schema, the description is complete: covers purpose, default behavior, and both parameters. No significant gaps for a simple unload tool.

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 coverage is 100%, reducing burden. Description adds value by explaining default behavior of 'provider' parameter and clarifying 'model' as ID/name, which goes beyond schema descriptions.

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 'Unload a model from memory to free VRAM/RAM' with specific verb and resource, and distinguishes from siblings like load_model or list_models by focusing on freeing memory.

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 provides context on when to use (to free memory) and specifies default behavior without provider arg, but does not explicitly state when not to use or compare to remove_model for permanent deletion.

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