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list_models

List all local Whisper model files with details on size, activity, quantization, and use case. Reads filesystem-only for offline model management.

Instructions

List all Whisper model files installed in your models directory. Shows filename, size, whether it is currently active, quantization status, and recommended use case for each model. No network calls — reads local filesystem only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Discloses that it reads local filesystem only, no network calls, and provides specific output fields. Lacks mention of permissions or side effects, but as a read-only operation, this is sufficient.

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 sentences: first states purpose, second details output. 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 annotations or output schema, description fully explains what the tool does and what output to expect. Covers all essential aspects for a list tool.

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, so schema coverage is 100%. Description adds value by detailing output fields beyond schema, which is helpful for agents.

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?

Clearly states verb (list), resource (Whisper model files), and specific output details (filename, size, active, quantization, use case). Distinguishes from sibling tools like download_model and switch_model by focusing on listing installed models.

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?

Implies when to use: before downloading or switching models, as it lists what is already installed. No explicit when-not or alternatives, but context is clear given sibling tools.

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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