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log_artifact

Log a file as an artifact to the current experiment run. Provide the file path and an optional name to track data, models, or outputs.

Instructions

Log an artifact (file) to the current run

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
artifact_pathYesPath to the artifact file to log
artifact_nameNoOptional name for the artifact
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits like idempotency, file size limits, or whether it copies or moves the file. A simple 'log' implies mutation but lacks detail.

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?

One short sentence with no unnecessary words. However, it may be too minimal given the lack of other documentation, but still efficient.

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?

For a simple tool with 2 parameters and no output schema, the description is bare minimum. It covers the basic action but omits workflow context like requiring an active run or artifact naming conventions.

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 coverage is 100%, and the description adds no extra meaning beyond the parameter names and types in the schema. Baseline 3 is appropriate as the schema already documents parameters.

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?

Description clearly states the verb (log), resource (artifact), and context (to the current run). It distinguishes from sibling tools like log_metrics or log_params, which log different types of data.

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 provides no guidance on when to use this tool, prerequisites (e.g., an active run), or when alternatives should be considered. Agent must infer usage context.

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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