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oz_list_models

List AI model IDs available in your connected Warp Oz account and show the current default. Use this to discover valid model IDs before running agents.

Instructions

List the AI model ids available to the connected Warp Oz account (from oz model list) and report the current default. Read-only; takes no arguments. Call this first to discover valid ids before passing model to oz_agent_run / oz_agent_run_cloud, or before oz_set_default_model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Despite no annotations, the description transparently declares it is read-only and takes no arguments, which is sufficient for this simple tool. Minor omission: no mention of error cases or rate limits, but not critical.

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?

Two concise sentences, front-loading the purpose and key constraints. Every sentence adds value with no redundancy.

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

Completeness5/5

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

Given no output schema, the description adequately indicates the output (list of IDs and current default). The tool is simple and the description covers its complete behavior.

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

Parameters4/5

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

No parameters are defined, so the description correctly notes 'takes no arguments'. This adds clarity beyond the empty schema, earning a baseline score of 4.

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 it lists AI model IDs and reports the current default, distinguishing it from sibling tools like oz_agent_run and oz_set_default_model by emphasizing its discovery role.

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

Usage Guidelines5/5

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

Explicitly instructs to call this first to discover valid IDs before using other tools, providing clear when-to-use guidance and naming specific alternatives.

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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