List vehicle models
list_vehicle_modelsList Tesla models this site can design a Paint Shop wrap for, including which ones are open in the editor.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_vehicle_modelsList Tesla models this site can design a Paint Shop wrap for, including which ones are open in the editor.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuine context beyond that—site scoping and the fact that results include editor-open status—but does not describe the result shape or ordering.
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?
A single sentence with the scoping constraint and the notable extra output detail front-loaded; nothing is wasted.
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?
For a zero-parameter read tool with rich annotations, the description is nearly sufficient. The only gap is that with no output schema, the exact return shape (fields per model) is only partially gestured at by 'which ones are open in the editor'.
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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter claims are made that could mislead.
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?
States a specific verb (List) and resource (Tesla models / Paint Shop wraps) with a site-scoping qualifier, which is more than the bare name conveys. It doesn't explicitly distinguish itself from siblings, but the siblings (create_project_from_image, get_project, search_gallery) are clearly unrelated, so the omission is minor.
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 phrase 'including which ones are open in the editor' hints that this is a discovery/selection tool, but the description never states when to call it (e.g., before create_project_from_image) or any exclusions. Usage is implied rather than guided.
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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