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init_model_instance

Initializes the model-instance-metadata.json file in a specified folder, setting up the required metadata structure for Kaggle model instances.

Instructions

Init model-instance-metadata.json

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
folderYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

C2.1/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral burden. It only says 'Init', which implies a side effect such as writing a local metadata file, but it does not disclose whether existing files are overwritten, whether the folder must exist, or whether any remote action occurs.

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

Conciseness2/5

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

The description is short and front-loaded, but it is under-specified rather than efficiently complete. There is no sentence structure or supporting context, making it more of a fragment than an informative description.

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?

With one required parameter, no annotations, and no output schema, the description still leaves out essential context: where the folder points, what initialization actually does, and what happens on re-run. The sibling list hints at a model-instance workflow, but the description does not connect those dots.

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

Parameters1/5

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

The only parameter, 'folder', has an empty schema description and schema coverage is 0%. The tool description never mentions the folder parameter, its meaning, or how to supply it, so it does not compensate for the schema gap.

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

Purpose3/5

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

The description names a specific artifact, 'model-instance-metadata.json', and an 'init' action, which loosely distinguishes it from siblings like init_model or init_kernel. However, it does not explain what initialization entails, and it reads mostly as a restatement of the tool name plus a filename.

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?

There is no guidance about when to use this tool versus alternatives such as init_model, create_model_instance, or update_model_instance. It provides no conditions, exclusions, or workflow context.

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