magnific_design_auto_layers
Extract editable layers from a flat image into a Pikaso design.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | ||
| numLayers | No | ||
| vectorize | No | ||
| creationIdentifier | Yes |
Extract editable layers from a flat image into a Pikaso design.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | ||
| numLayers | No | ||
| vectorize | No | ||
| creationIdentifier | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide only generic hints (readOnlyHint=false, destructiveHint=false), so the description carries most of the behavioral burden. It adds the useful context of extracting layers from a flat image into a design, but does not disclose whether the original is preserved, whether an async creation is triggered, or what side effects occur beyond the implied generation.
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 one concise, front-loaded sentence, but it is under-specified rather than efficiently complete. It earns its place but omits critical operational and parameter information.
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 four parameters, no output schema, and weak annotations, a single sentence is insufficient. The required creationIdentifier is unexplained, and there is no information about return values, asynchronous behavior, or how the extraction process is initiated or completed.
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?
Schema description coverage is 0%, and the description does not explain any of the four parameters. The agent is left unable to know the meaning of required 'creationIdentifier' or the optional 'name', 'numLayers', and 'vectorize'.
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 uses a specific verb ('Extract') and clearly identifies both the source ('flat image') and the result ('editable layers' into a 'Pikaso design'). This makes the tool's function distinct from siblings like magnific_design_auto_resize or magnific_images_to_svg.
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 is given about when to use this tool versus alternatives. There are no usage scenarios, prerequisites, or exclusionary statements, leaving the agent without context for selecting it among the many sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.