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waliex3

motion-mcp-server

by waliex3

motion_create_keyframe_curve

Creates a new keyframe curve for an unkeyframed scalar parameter, seeding it with an initial keypoint so you can begin authoring animation in Motion.

Instructions

Start animating a leaf parameter that has NEVER been keyframed in Motion — creates its from scratch, seeded with one keypoint, so you can author dynamic/procedural motion rather than only editing curves Motion already created. Grounded in a structural scan of real Motion documents: every keyframed leaf parameter observed (Position X/Y/Z, Scale, Angle, Opacity, RGB(A) channels, behavior Amounts, ...) uses the same universal scalar curve type — Motion animates compound properties like Position or Color by keyframing each numeric child parameter independently, so target one scalar channel at a time (e.g. "Style/Face/Color/Red", not "Style/Face/Color"). Refuses a parameter that's already keyframed (use motion_add_keyframe instead) or that's a group with its own child parameters rather than a bare value. default overrides the curve's rest value; it otherwise reuses the parameter's current static value/default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
valueYes
defaultNo
scenenode_idYes
time_secondsYes
interpolationNo1
parameter_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does well: it discloses that a new curve is created from scratch with one keypoint, that it refuses certain inputs, and how `default` behaves. However, it does not explicitly state that this is a write operation that modifies the document, nor does it mention non-reversibility, so it's not a perfect 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but well-organized and free of fluff. Every sentence adds value: purpose, grounding, constraints, and parameter detail flow logically. It earns a 4 rather than 5 because it could be slightly tighter, but it's still highly readable and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 7-parameter tool with no annotations and zero schema coverage, the description covers the core functionality, target parameter type, and key constraints. It leaves out explicit explanations for `path`, `scenenode_id`, and `interpolation`, but the overall context and output schema mitigate those gaps. A 4 is appropriate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, and the description compensates for key ambiguous parameters: it clarifies `parameter_path` (scalar channel, e.g., 'Style/Face/Color/Red' vs compound) and `default` (overrides rest value or reuses current value). Other parameters like `time_seconds`, `value`, and `interpolation` are not explicitly detailed, but their meaning is inferable from the context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: 'Start animating a leaf parameter that has NEVER been keyframed in Motion — creates its curve from scratch, seeded with one keypoint.' It also distinguishes itself from the sibling tool motion_add_keyframe, which is for already-keyframed parameters.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly specifies when to use this tool (only for never-keyframed leaf parameters) and when not (already keyframed → use motion_add_keyframe; group parameters → refused). It also gives precise targeting guidance by instructing to target scalar channels rather than compound properties.

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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