add_mask
Apply shape, color, or object masks to selected clips in Final Cut Pro for precise editing control and visual effects.
Instructions
Add a mask to the selected clip.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes | Type of mask to add |
Apply shape, color, or object masks to selected clips in Final Cut Pro for precise editing control and visual effects.
Add a mask to the selected clip.
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes | Type of mask to add |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It states the action is 'Add', implying a mutation, but doesn't cover permissions, reversibility, effects on the clip, or response format. This is inadequate for a mutation tool with zero annotation coverage.
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, clear sentence with no wasted words. It's front-loaded with the core action, making it efficient and easy to parse.
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 mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavior, side effects, return values, and how it differs from related tools, leaving significant gaps for an AI agent to understand its use.
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 100%, so the schema already documents the single parameter 'type' with its enum values. The description doesn't add any meaning beyond this, such as explaining the differences between mask types or their visual effects, meeting the baseline for high schema coverage.
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 states the action ('Add a mask') and target ('to the selected clip'), which provides a basic purpose. However, it doesn't specify what a 'mask' does in this context or distinguish it from similar tools like 'add_effect' or 'adjustment_layer', making it somewhat vague rather than specific.
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. It doesn't mention prerequisites (e.g., needing a clip selected), exclusions, or compare it to sibling tools like 'add_effect' or 'adjustment_layer', leaving usage unclear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/elliotttate/finalcutpro-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server