Discover available models and default actions for AI video generation and editing, enabling you to identify compatible options before starting a task.
List Happy Horse actions, compatible models, and defaults.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits like read-only nature, authentication requirements, or output structure. The existence of an output schema is not mentioned, leaving the agent uninformed about side effects or capabilities.
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, front-loaded sentence that efficiently communicates the tool's purpose. However, it may be too minimal, missing opportunities to provide additional context without significant bloat.
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 tool's simplicity (no params, output schema exists), the description is insufficient. It does not explain the relevance of listing actions, models, and defaults, nor does it hint at typical usage scenarios like pre-generation setup, leaving the agent without adequate context.
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 no parameters, so schema coverage is 100% trivially. The description does not need to add parameter details, but it could note that no arguments are required, which it implicitly does by omission.
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 clearly states the tool lists 'Happy Horse actions, compatible models, and defaults,' which distinguishes it from sibling tools that focus on video generation and editing. However, it does not define what 'actions' or 'defaults' encompass, leaving some ambiguity.
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 provided on when to use this tool versus alternatives, such as before generating a video to check available models. The description lacks explicit context for invocation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.