Skip to main content
Glama

bake_animation

Bake constraint, parent, or NLA motion into per-frame keyframes. Configure frame range, step, visual keying, and constraint clearing.

Instructions

把约束/父级/NLA 的运动烘焙成逐帧关键帧。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepNo
objectYes
frame_endNo
frame_startNo
visual_keyingNo
clear_constraintsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.3/5.0
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral transparency, but it does not disclose side effects such as whether existing keyframes are overwritten, whether constraints are cleared (despite a clear_constraints parameter existing), or how the baking process affects the object's animation data. The description is too minimal to inform the agent of the tool's behavior beyond the basic action.

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 concise and directly to the point, with no superfluous words. The single sentence is front-loaded with the core purpose. While it could be more structured (e.g., explaining default behavior), the text itself is appropriately sized for a high-level summary, avoiding verbosity.

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

Completeness1/5

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

Given the tool's complexity (6 parameters, including nullable frame boundaries and boolean flags) and the lack of schema descriptions and annotations, the description is far too brief. It does not explain the baking process, the meaning of the parameters, or the outcome, leaving the agent with insufficient context to use the tool correctly. The description must compensates for the missing structured info, but it does not.

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

Parameters1/5

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

The schema provides no descriptions for any of the 6 parameters, and the description does not elaborate on their meanings. Parameters like 'step', 'frame_start', and 'clear_constraints' are left entirely to inference. Since schema coverage is 0%, the description must compensate, but it fails to add any meaningful parameter details.

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 tool's function: baking motion from constraints, parenting, and NLA into per-frame keyframes. It uses a specific verb ('bake') and a specific resource ('motion of constraints/parent/NLA'), making its purpose unambiguous. This also distinguishes it from sibling tools like insert_keyframe or set_frame_range.

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

Usage Guidelines1/5

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. There is no mention of typical use cases, prerequisites, or scenarios where other animation tools would be more appropriate. The description is purely functional with no contextual usage advice.

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

Deploy Server

Other Tools