create_ml_model
Create a new machine learning model in OpenMetadata by submitting model data.
Instructions
Create a new ML model in OpenMetadata
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| model_data | Yes |
Create a new machine learning model in OpenMetadata by submitting model data.
Create a new ML model in OpenMetadata
| Name | Required | Description | Default |
|---|---|---|---|
| model_data | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must cover behavioral traits. It only says 'create', but offers no details on permissions, side effects, or what the return value is. Minimal disclosure.
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 sentence, concise but at the expense of necessary detail. It is not informative enough to be considered efficient.
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 a nested object parameter and no output schema, the description is incomplete. It lacks information on input structure, usage examples, or expected output, leaving an agent underinformed.
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 object parameter 'model_data' with 0% coverage. The description adds zero semantic value about what fields or structure the object should contain.
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 action 'Create' and the resource 'new ML model in OpenMetadata', distinguishing it from other create_* tools.
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 alternatives, prerequisites, or when not to use it. The description solely states the action without context.
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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