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wisrovi
by wisrovi

generate_training_yaml

Generate a NeuralForgeAI training YAML configuration file and save it to disk for inspection before launching training. Returns the absolute path.

Instructions

Generate a NeuralForgeAI training YAML configuration file and save it to disk. This allows the user to inspect the file before launching the training. Returns the absolute path to the generated YAML file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
configYes
output_dirNo.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries full burden. It mentions file saving and return of path, but does not disclose overwrite behavior, permissions, or any side effects beyond that.

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 three sentences, each adding value: main action, purpose, return value. No wasted words.

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 description omits crucial prerequisites, such as the need to run validate_dataset_advanced first to fill metadata fields. Given the complexity and sibling tools, this is a significant 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% per context, but the tool description adds no parameter info. It does not compensate by explaining the 'config' parameter or the required fields, despite nested schema having descriptions.

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 clearly states the tool generates a training YAML config file and saves it to disk. It distinguishes from siblings like launch_training and validate_dataset_advanced by emphasizing inspection before launching.

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 implies usage before launch_training by saying 'allows the user to inspect the file before launching.' However, it does not explicitly state when not to use or list alternatives, but provides clear 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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