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Blender Production MCP

Blender Production MCP

by DiegoArias32

production.mocap_cleanup

Analyzes motion capture data and proposes one safe cleanup operation at a time, defaulting to no changes and preserving exact source motion.

Instructions

Analyze/propose one safe cleanup at a time; apply=false default; exact source and measured motion preservation.

Input Schema

NameRequiredDescriptionDefault
modeNoanalyze
applyNo
optionsNo
strategyNo
operationNo
object_nameNo
operation_idNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.9.0

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already state readOnlyHint=false, destructiveHint=false, idempotentHint=false, so the safety profile is largely covered. The description adds genuine context — cleanups are scoped to one at a time and preserve the exact source and measured motion — but does not say what gets modified, whether a checkpoint is advisable, or how the 'one at a time' sequencing ties to operation_id.

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

Conciseness3/5

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

A single dense sentence with no wasted words, and the safe-by-default constraint is front-loaded. However brevity here comes at the cost of under-specification rather than being genuinely concise.

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

Completeness2/5

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

This is a complex, mutation-capable tool with seven unlabeled parameters and an iterative 'one at a time' protocol, yet the description gives no parameter guidance and no explanation of the operation_id/operation lifecycle. An output schema exists so return values need not be described, but the input-side gap is severe.

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

Parameters2/5

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

Seven parameters with 0% schema description coverage, and the description only restates the apply default (already in the schema). mode, strategy, operation, object_name, operation_id, and options are entirely unexplained, leaving the agent to guess at the core operation-selection arguments.

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

Purpose3/5

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

The description names an action ('Analyze/propose one safe cleanup') but never states the resource explicitly or what kinds of cleanup are supported (contacts, root motion, fcurves, retarget cleanup). With siblings like mocap_analyze, animation_cleanup_fcurves, and facial_mocap_cleanup, an agent cannot cleanly tell this apart without inferring from the tool name.

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

Usage Guidelines3/5

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

'One safe cleanup at a time' with 'apply=false default' implies a dry-run then apply workflow, which is useful implied guidance. But it names no alternatives and gives no explicit when-not conditions (e.g., when to use mocap_analyze first, or how this differs from animation_cleanup_fcurves).

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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