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valentinlutun-cmd

Voicebox MCP (Full)

voicebox_download_model

Downloads a model from HuggingFace to local cache for offline use. Monitor progress with a separate tool.

Instructions

Download a model from HuggingFace to local cache.

Check progress with voicebox_get_download_progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_nameYesModel name from voicebox_list_models (must show downloaded=false).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It indicates a download operation but does not specify whether it is blocking, what happens if the model already exists, or any authentication/rate-limit requirements. The precondition on model_name (must show downloaded=false) is implicitly disclosed in the parameter description, but the overall behavioral model is unclear.

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?

The description consists of two short, front-loaded sentences. The first states the primary action, and the second provides a pointer to a related monitoring tool. No extraneous words.

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

Completeness3/5

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

Given the presence of an output schema (not shown) and high schema coverage, the description covers the essential points for a simple download tool: what it does and how to check progress. However, it omits potential error scenarios, asynchronous behavior, or whether it should be used before voicebox_load_model. This leaves some gaps for an AI agent.

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?

The only parameter, model_name, already has a schema description. The tool's description adds extra value by stating it must come from voicebox_list_models and have downloaded=false, which is a meaningful precondition beyond the schema's type and description.

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: 'Download a model from HuggingFace to local cache.' This is a specific verb+resource combination that distinguishes the tool from siblings like voicebox_list_models and voicebox_get_download_progress.

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

Usage Guidelines3/5

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

The description mentions checking progress with a specific sibling (voicebox_get_download_progress), providing some usage context. However, it does not explicitly state when to use this tool versus alternatives like voicebox_load_model or voicebox_unload_model, nor does it mention prerequisites or restrictions.

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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