list_styles
List available visual styles for Compeller video generation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List available visual styles for Compeller video generation.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already establishes this is a safe read operation. The description adds context that the tool returns 'available' styles for 'Compeller video generation', implying it provides a set of valid options for use in generation workflows, which is useful beyond the annotation alone.
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 sentence that is front-loaded with the action ('List') and resource ('visual styles'), followed by a scope. It contains no filler and every word adds value.
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 simple list tool with no parameters, no output schema, and a readOnly annotation, the description provides sufficient context: it identifies the domain (Compeller video generation) and the nature of the result (available styles). A more detailed return format is not necessary for such a trivial operation.
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?
With zero parameters, the baseline is 4. The description does not need to explain parameters, and the empty schema is fully self-explanatory.
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 specifies a clear verb ('List') and resource ('visual styles'), and scopes it to 'Compeller video generation', distinguishing it from sibling tools like list_lighting_effects or list_compels. It immediately conveys what the tool does.
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 implies the tool is used when you need to know which visual styles are available for video generation, but it does not explicitly state when to use it over alternatives or mention any exclusions. For a simple list tool, this is acceptable but not fully explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool targets a distinct action or resource. Groups like compels, lighting cues, webhooks, and account are clearly separated, and even similar tools (create_compel vs create_compel_from_music) have well-defined differences in input source.
All tool names follow a consistent verb_noun pattern with underscores (e.g., cancel_compel, launch_lighting_cue, register_webhook). No mixing of conventions or ambiguous verb choices.
With 30 tools, the server is above the 25+ threshold for 'too many'. While the scope includes multiple subdomains, the high number adds cognitive load and risks selection errors for an agent.
Core workflows are present (create, read, cancel, list, search, render), but missing update/delete for compels and media, and no way to modify render configuration beyond defaults.