model_delete

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

No annotations provided, so description carries full burden. It only states 'Delete' without disclosing side effects (e.g., cascade delete of versions, irreversibility, required scopes). Does not mention output or error scenarios despite an output schema existing.

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 short and to the point. The Args list is somewhat redundant with the schema, but it's not overly verbose. Front-loads the purpose in the first line.

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?

Given 2 parameters, no annotations, and an output schema, the description does not explain what the output is, success/error behavior, or access requirements. For a destructive action, more context is needed.

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?

Schema has 0% description coverage; titles are generic ('Owner', 'Model Slug'). The description adds 'Owner username' and 'Model slug to delete', clarifying the meaning of each parameter. This adds value beyond the schema.

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 'Delete a Kaggle model.' It uses a specific verb (delete) and resource (Kaggle model). Among siblings like model_create, model_update, model_get, this tool is well-distinguished.

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 on when to use this tool versus others like model_update or model_instance_version_delete. No prerequisites, exclusions, or context on ownership or permissions. With many model-related siblings, usage guidance is needed.

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