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Download Model

download_model

Downloads a Hugging Face MLX model only after explicit confirmation, preventing unintended large downloads by requiring confirmed=true.

Instructions

MOCK: would download the model. Without confirmed=true it asks for confirmation.

Input Schema

NameRequiredDescriptionDefault
repo_idYes
confirmedNoSet true only after the user confirmed

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose the important behavioral fact that a confirmation gate exists and that the operation is a mock that will not actually download, which is genuinely valuable. However it omits destination paths, permissions, side effects, and whether the confirmation prompt is an error or a separate call.

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

Conciseness4/5

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

Two short sentences, well front-loaded, no padding. It is under-specified rather than verbose, so length is not the problem.

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

Completeness2/5

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

An output schema exists so return values needn't be explained, but for a mutation-style tool with zero annotations and an undocumented required parameter, the description leaves critical gaps: what repo_id should contain, what the mock confirmation response looks like, and whether retrying with confirmed=true is the correct follow-up.

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

Parameters2/5

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

Schema coverage is 50%: confirmed is documented in the schema, though the description usefully reinforces that it must be true to proceed. repo_id has no description in either place, and the description does nothing to explain what identifier format it expects (org/name, local path, etc.) despite being the sole required parameter.

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

Purpose3/5

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

The description names the resource and action ("would download the model"), so the intent is inferable, but the "MOCK:" prefix and conditional phrasing make it unclear whether a download actually occurs. It draws no boundary against the sibling tools, which are all analysis/recommendation tools, so the agent gets no routing help.

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?

"Without confirmed=true it asks for confirmation" implies a two-step confirm-then-call flow, which is useful, but the description never states when to use this tool versus the analysis siblings or that the user must have selected a model first. Usage is implied rather than stated.

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