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model_instance_version_create

Create a new version for a Kaggle model instance by specifying owner, model slug, framework, instance slug, and optional version notes.

Instructions

Create a new version for a model instance.

    Args:
        owner: Model owner username.
        model_slug: Model slug/name.
        framework: Framework name (e.g. 'tensorflow2', 'pytorch', 'jax').
        instance_slug: Instance slug identifier.
        version_notes: Optional notes for this version.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYes
model_slugYes
frameworkYes
instance_slugYes
version_notesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided; description only says 'Create...' which implies mutation but does not disclose side effects, permission needs, or error conditions. Does not confirm whether it overwrites or appends versions.

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

Conciseness3/5

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

Description is short but uses an Args list format that is somewhat redundant with the schema. Could be more concise by omitting parameter details (already in schema) and focusing on usage context.

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?

Output schema exists, so return value explanation not needed. However, for a creation tool, missing behavioral context like idempotency, uniqueness of versions, or required parent resources (must model instance exist?).

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?

Parameter descriptions add minimal value beyond names (e.g., 'owner: Model owner username'). With 0% schema coverage, the description should compensate but only restates obvious information. No constraints or formatting examples.

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 'Create a new version for a model instance,' which is a specific verb-noun pair. This distinguishes it from siblings like model_create, model_instance_create, etc.

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 alternatives (e.g., model_create, model_instance_versions). No mention of prerequisites or context for using this version creation action.

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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