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aiaun_smoke_script

Smoke test your ML experiment by retrieving the inlined synthetic color-class kernel source, without exposing secrets.

Instructions

Return the inlined synthetic color-class smoke kernel source (no secrets).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_slugNoaiaun-synthetic-color-cls

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the transparency burden. It clearly signals a read-only retrieval via 'Return' and adds a useful safety disclosure with '(no secrets)'.

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?

A single, front-loaded sentence with zero waste. Every word contributes meaning, and the important scoping words come first.

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?

The tool is simple and has an output schema, so return-value documentation is not needed. However, the optional dataset_slug parameter is unexplained and no usage context is given, leaving a small but real completeness gap.

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 description coverage is 0%, so the description needed to explain dataset_slug, but it does not mention the parameter at all. The schema's title and default offer minimal meaning, but the description adds no semantic value beyond that.

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?

States a specific verb and object: 'Return the inlined synthetic color-class smoke kernel source.' The qualifier 'synthetic color-class' distinguishes it from the sibling 'aiaun_resnet50_gpu_smoke_script' without needing to inspect the schema.

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?

No guidance on when to use this tool versus the similar sibling smoke-script tool or other notebook/kernel tools. There are no context cues, prerequisites, or alternative routing provided.

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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