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gpu_download_artifacts

Download artifacts for a specific job ID into an optional destination directory, enabling inspection of Kaggle or Colab job outputs and test fixtures.

Instructions

Download artifacts under artifact_root. Mock data are TEST FIXTURES.

Input Schema

NameRequiredDescriptionDefault
job_idYes
dest_dirNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.2/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, yet it does not say whether files are overwritten, whether dest_dir defaults to the working directory, what happens if the job is still running, or that the data may be mock fixtures generated for testing rather than real outputs. The one behavioral hint ('Mock data are TEST FIXTURES') is ungrammatical and leaves the agent guessing about data provenance.

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

Conciseness3/5

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

Very short, which is good, but the second sentence is opaque and reads like an unexplained note rather than information the agent can act on. Nothing is front-loaded beyond the verb.

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?

The output schema covers return values, so that need not be explained, but for a two-parameter download tool with zero schema coverage the description omits parameter meaning, destination behavior, and prerequisites. It is not sufficient for correct invocation.

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

Parameters1/5

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

Schema description coverage is 0% and neither documented parameter is addressed: job_id (required) and dest_dir (nullable, default null) are never mentioned, and 'artifact_root' is not even a parameter. The description therefore adds no meaning beyond the bare field names.

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?

States a verb (Download) and resource (artifacts), which separates it from list/get/logs siblings, but 'under artifact_root' is an unexplained config reference and gives no hint of what kind of artifacts or from which job. The trailing note about mock data is cryptic rather than clarifying.

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?

There is no statement of when to use this tool instead of gpu_get_job_logs or l2kc_download_artifacts, nor any precondition such as the job having completed. The agent must infer usage entirely from the name.

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