ghibli_generate_image
Generate Ghibli-style artwork using OpenAI models. Create stylized images with this AI-powered image generator tool.
Instructions
Ghibli generate
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Generate Ghibli-style artwork using OpenAI models. Create stylized images with this AI-powered image generator tool.
Ghibli generate
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure but offers none. 'Ghibli generate' doesn't indicate whether this is a read or write operation, what permissions might be needed, whether it has side effects, rate limits, or what the output format might be. For a generation tool with zero annotation coverage, this is a critical gap.
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?
While extremely brief ('Ghibli generate'), this isn't true conciseness but rather under-specification. The two words don't form a complete thought and fail to convey necessary information. Every sentence should earn its place, but here the minimal content doesn't justify its existence as a helpful description.
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 the complexity of an image generation tool with no annotations and no output schema, the description is completely inadequate. It doesn't explain what 'Ghibli' means, what kind of image is generated, what the output looks like, or any behavioral characteristics. The description fails to provide the minimal context needed for effective use.
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 tool has zero parameters (schema coverage 100%), so there's no need for parameter documentation in the description. The baseline for zero parameters is 4, as the description doesn't need to compensate for any parameter gaps. However, it doesn't reach 5 because it could optionally mention that no inputs are required.
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 'Ghibli generate' is a tautology that essentially restates the tool name 'ghibli_generate_image' with minimal added meaning. It doesn't specify what resource is being generated (presumably an image based on the name) or what 'Ghibli' refers to (likely Studio Ghibli style). While it hints at generation, it lacks the specific verb+resource clarity needed for proper understanding.
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?
The description provides no guidance on when to use this tool versus alternatives. There's no mention of context, prerequisites, or comparison with the sibling tool 'example_response'. Users must infer usage entirely from the tool name, which is insufficient for effective tool selection.
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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