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attach_kinefx_deform

Attaches a KineFX joint deform by wiring skin, capture pose, and an animation clip, then remaps joints and verifies the geometry deforms from clip start to end.

Instructions

Skin + capture pose + clip → kinefx::jointdeform under mcp_*.

source='capybara' uses testgeometry_capybara (outputclip + motionclipevaluate).
source='nodes' wires rest_path / capture_path / anim_path.
map_joints remaps Mixamo-like clip names onto the capture skeleton.
proof hashes deform geo at clip start vs end — must differ (not T-pose).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clipNoelbowdrop
nameNojointdeform
proofNo
sourceNocapybara
anim_pathNo
rest_pathNo
map_jointsNo
parent_pathNo/obj/mcp_character
capture_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
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 disclose non-obvious behavior: the source-mode differences, that map_joints remaps Mixamo-like names onto the capture skeleton, and that proof hashes deform geometry at clip start vs end and must differ. It omits scene-mutation/idempotency and error behavior, but adds substantial context beyond the schema.

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?

Front-loaded with the core transformation, then four tightly packed lines that each add distinct information. The telegraphic arrow/fragment style is efficient but occasionally cryptic, costing a little readability without wasting space.

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?

An output schema exists so return values need not be explained. For a 9-parameter, zero-coverage tool the description covers the key mode selection and behavioral flags well, though it lacks prerequisites (e.g. an existing capture/skin) and full parameter mapping.

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 description coverage is 0%, so the description must compensate. It explains source, map_joints, and proof semantics, and ties rest_path/capture_path/anim_path to the source='nodes' mode, plus 'under mcp_*' hints at name/parent_path. It leaves clip and parent_path largely unaddressed, but covers most of the 9 parameters.

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

Purpose4/5

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

States a specific verb and composite resource: 'Skin + capture pose + clip → kinefx::jointdeform'. An agent can tell this builds a deform node from three inputs, distinct from siblings like import_fbx_animation or map_kinefx_joints. The arrow notation is jargon-dense but still conveys the operation.

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

Usage Guidelines4/5

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

Gives conditional guidance on the two operating modes via source ('capybara' uses a testgeometry pipeline; 'nodes' wires explicit paths), which tells the agent which path to take. It stops short of naming sibling alternatives or stating exclusions, so it is clear context without explicit when-not guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.