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lora_unload

Hot-unload a LoRA adapter from an inference cluster to stop traffic on it. Use dry_run to preview before unloading.

Instructions

[WRITE][risk=high] Hot-unload a LoRA adapter (traffic on it starts failing).

Pass dry_run=True to preview.

Args: lora_name: Adapter name to unload (from model_list). dry_run: If True, preview without unloading. target: Inference target name from config; omit for the default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNo
dry_runNo
lora_nameYes
Behavior4/5

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

With no annotations, the description carries full burden. It discloses the write nature, high risk, and that traffic fails. Dry_run option is mentioned. Could add reversible nature (implied by load/unload pair) and error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with risk and action. Parameter descriptions are clear and compact. Every sentence adds value. No fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers purpose, risk, dry run, parameters. Lacks explanation of return value (no output schema) and reversible nature. Minor missing context about exact failure behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description explains each parameter in detail: lora_name source, dry_run effect, target optionality. Adds meaning beyond schema types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Hot-unload a LoRA adapter') and the resource, with explicit risk highlighter. It distinguishes from siblings like lora_load by being the inverse operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides guidance on safe usage via dry_run=True. However, lacks explicit when-not-to-use or comparison to alternatives like model_undeploy. The risk=high tag implies caution but could be more detailed.

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

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