init_kernel

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

With no annotations provided, the description must carry the burden of disclosing behavioral traits. It states that a skeleton file is created, but does not say whether it overwrites existing files, requires a specific directory state, or has other side effects. This is significant for a tool that writes to the filesystem.

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

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

The description is a single concise sentence with no filler and the core action is front-loaded. However, it is somewhat terse, bordering on under-specification rather than efficient clarity.

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

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

Although the tool is simple with one parameter and no output schema, the description fails to explain the meaning of the 'folder' parameter or any behavior around file creation. An agent would likely need external knowledge to use this tool correctly.

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

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

The schema has one required parameter, 'folder', with an empty description and 0% schema coverage. The description does not mention 'folder' at all, leaving the agent to guess what value to provide and how it relates to creating the skeleton.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific verb ('Create') and a concrete resource ('kernel-metadata.json skeleton'), which clearly separates it from siblings like init_dataset and init_model. However, 'skeleton' is somewhat vague about what contents or scope are included.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives such as init_model, init_dataset, or create_model. There are no examples, prerequisites, or exclusions to help route an agent to the correct tool.

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