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Obrais-cloud

ollama-fleet-mcp

by Obrais-cloud

pull_model

Download and verify an Ollama model onto a specific fleet host, with a configurable timeout for large models.

Instructions

Pull (download/verify) a model onto a specific fleet host.

Args:
    host: fleet host name.
    model: model name to pull (e.g. "qwen3:32b").
    timeout_sec: max seconds to wait — large models can take a while (default 900).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostYes
modelYes
timeout_secNo
Behavior3/5

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

No annotations are provided, so the description must carry the transparency burden. It discloses that downloads can take time and defaults timeout_sec to 900, but it does not mention permissions, side effects, or behavior if the model already exists. This is moderate disclosure for a simple download tool.

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 is compact: one introductory sentence and a short Args block with field explanations. Every sentence contributes new information, and the structure is easy to scan.

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

Completeness4/5

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

Given no output schema or annotations, the description covers the core functionality and parameters, including a timeout consideration. It does not explain return values or error possibilities, which is a minor gap for a tool of this complexity.

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

Parameters5/5

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

The schema only lists parameter names and types, with 0% description coverage. The description compensates by explaining each parameter's purpose, including an example model name and the meaning of timeout_sec, adding significant value beyond the schema.

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 begins with 'Pull (download/verify) a model onto a specific fleet host,' which clearly states the action and resource. It distinguishes itself from sibling tools like list_models or generate by specifying the model download/verify operation.

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?

The description clearly implies when to use this tool: to download a model to a specific host. However, it does not explicitly state when not to use it or mention alternative tools, so it lacks explicit exclusions.

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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