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amanharshx

ultralytics-mcp

by amanharshx
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TypeScript
Remote

model_download

Download a trained model's weight file to a local path using owner/project/model, ul:// URI, or slug with project.

Instructions

Download a trained model's weight file to an explicit local path by owner/project/model, ul://owner/project/model, or slug with a project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesModel ref by owner/project/model, ul:// URI, or slug (requires project).
projectNoProject ref required when model is given by slug.
filenameNoSelect which of the model's remote weight files to download by name; does not set the local output filename (use output_path for that). Omit to prefer best.pt, then the first available file.
overwriteNoOverwrite an existing file at output_path.
output_pathYesLocal destination path for downloaded model weights.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.15
    • addedInput schema / additionalProperties
      Added value: +false
  2. Changed3 schema fields changedv0.1.13
    • addedInput schema / properties / filename / description
      Added value: +"Select which of the model's remote weight files to download by name; does not set the local output filename (use output_path for that). Omit to prefer best.pt, then the first available file."
    • addedInput schema / properties / overwrite / description
      Added value: +"Overwrite an existing file at output_path."
    • addedInput schema / properties / project / description
      Added value: +"Project ref required when model is given by slug."
  3. Changed1 schema field changedv0.1.12
    • changedInput schema / properties / model / description
      Previous value: -"Model id, or slug when project is also provided."New value: +"Model ref by owner/project/model, ul:// URI, or slug (requires project)."
  4. Changed2 schema fields changedv0.1.6
    • addedInput schema / properties / model / description
      Added value: +"Model id, or slug when project is also provided."
    • addedInput schema / properties / output_path / description
      Added value: +"Local destination path for downloaded model weights."
  5. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false, idempotentHint=false, and destructiveHint=false, so the safety profile is already covered. The description adds that the destination is an explicit local path and that a weight file is being downloaded, but it does not disclose overwrite defaults, file-conflict behavior, or other side effects.

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?

The definition is one front-loaded sentence with no filler. It is somewhat dense because it packs multiple model reference forms into the same sentence, but every clause serves a purpose.

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?

No output schema exists, annotations cover the write/non-idempotent/non-destructive profile, and the schema fully documents parameters. The description is adequate for invocation but omits operational context such as overwrite behavior and the filename fallback logic, leaving minor gaps.

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

Parameters3/5

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

Schema description coverage is 100% and every parameter is documented in the schema. The description repeats the model reference forms already covered by the schema and adds no new syntax, defaults, or edge-case meaning.

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

Purpose4/5

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

States a specific verb 'Download' and resource 'trained model's weight file' with destination 'explicit local path'. It clearly distinguishes itself from sibling read/predict tools, but it does not explicitly name alternatives.

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

Usage Guidelines2/5

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

The description gives no when-to-use or when-not-to-use guidance and does not name alternatives among siblings. Listing accepted model reference formats is parameter syntax, not task-selection guidance.

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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