Ai Look Virtual Try On Templates
AI-Look-Virtual-Try-On-TemplatesList predefined templates.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
AI-Look-Virtual-Try-On-TemplatesList predefined templates.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description states the core behavior (listing templates), which is not explicitly in the annotations. But it adds no further behavioral context such as pagination, response size, or whether the templates are static per user. Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered; however, the description does not go beyond a basic statement.
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 short sentence that is front-loaded and easy to scan. It is concise, though perhaps too terse, lacking any additional context that could aid understanding. It is not a tautology, but it is minimal.
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 simplicity of the tool (no parameters, output schema exists, strong annotations), the description is mostly complete. However, it does not explain how the templates relate to AI-Look-Virtual-Try-On or whether they are required for that operation. This missing linkage might cause an agent to underutilize the tool.
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, and the schema has 100% description coverage. With no parameters to clarify, the baseline of 4 applies. The description does not need to elaborate on parameter usage, as there are none.
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 'List' and a clear resource 'predefined templates', making the tool's function explicit. However, it does not differentiate this template listing from the many sibling template-listing tools (e.g., AI-Hair-Style-Virtual-Try-On-Templates), which all likely have the same generic wording.
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?
There is no guidance on when to use this tool versus alternatives. The description does not mention any prerequisites, related tools, or typical invocation patterns (e.g., 'use to get template IDs for AI-Look-Virtual-Try-On'). It is purely a one-line description without any contextual usage advice.
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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