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get-model-presets-by-model-id

Retrieve all available presets for a specific AI model to configure image generation settings and optimize output quality.

Instructions

List all presets for the given modelId

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
originalAssetsNoIf set to true, returns the original asset without transformation
modelIdYesThe presets' `modelId`
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states this is a list operation, implying it's read-only and non-destructive, but doesn't mention any behavioral traits like pagination, rate limits, authentication requirements, or what happens if the modelId is invalid. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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

Conciseness5/5

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

The description is a single, clear sentence that directly states the tool's purpose without any unnecessary words. It's front-loaded and efficiently communicates the core functionality, making it easy to parse quickly.

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?

Given the lack of annotations and output schema, the description is insufficient for a retrieval tool. It doesn't explain what presets are, what data they contain, or the format of the returned list. With no structured data to compensate, the description should provide more context about the output and usage scenarios to be complete.

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

Parameters3/5

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

The schema description coverage is 100%, so the input schema already fully documents both parameters (modelId and originalAssets). The description mentions 'modelId' but adds no additional semantic context beyond what's in the schema, such as format examples or how originalAssets affects the output. This meets the baseline for high schema coverage.

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

Purpose4/5

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

The description clearly states the action ('List all presets') and the target resource ('for the given modelId'), making the purpose immediately understandable. However, it doesn't differentiate this tool from similar sibling tools like 'get-models-by-model-id' or 'get-models-description-by-model-id', which also retrieve model-related data but for different resources.

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?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools available (e.g., 'get-models-by-model-id', 'get-models-description-by-model-id'), there's no indication of when presets specifically are needed or what distinguishes this retrieval from other model-related queries.

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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