init_dataset

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

With no annotations, the description discloses key behavioral traits: it creates a directory, fails if one already exists, and suggests manual deletion to reinitialize. This adds context beyond a simple 'init' statement, though it could mention potential side effects or permissions needed.

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 concise and front-loaded: the first sentence states the main action, and the second adds critical failure information. Every sentence adds value with no unnecessary fluff.

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?

The description covers the primary behavior and failure condition. With an output schema presumably existing, the lack of output details is acceptable. Minor omission: it could mention the return value or success indicator, but overall it is adequate for an init tool.

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 input schema already includes descriptions for dataset_path, name, and description. The tool description only references dataset_path, adding no new meaning. Schema description coverage appears high, so a baseline score of 3 is appropriate.

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 clearly states the tool initializes a new version-controlled golden dataset and creates a .golden_dataset directory. It uses a specific verb and resource, and the action is distinct from sibling tools that perform other operations like adding entries or viewing status.

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?

The description implies usage for initialization of a golden dataset, but it does not explicitly specify when not to use this tool or provide alternatives. While siblings are listed, there is no direct guidance on choosing this tool over them.

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