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Blender Production MCP

Blender Production MCP

by DiegoArias32

production.animation_generate_effector_contact

Creates an effector contact animation plan for a compatible character rig, requiring explicit mapping and preserving source actions for technical QA and artistic review.

Instructions

animation_generate_effector_contact: high-level M6 unit. Plan first, apply=false by default; generation is the immutable plan.json reference. Explicit mapping and compatible body rig required. Source Actions retained; technical QA and temporal artistic review are distinct. options carries declared stage parameters, thresholds or visual review; unsupported adapters return concrete errors.

Input Schema

NameRequiredDescriptionDefault
applyNo
briefNo
intentNo
optionsNo
generationNo
object_nameNo
operation_idNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.9.0

TDQS

C2.4/5.0
Behavior3/5

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

Annotations already declare the mutating but non-destructive, non-idempotent profile. The description adds useful context: plan-first default, immutable plan.json as the generation reference, source Actions retained, and concrete errors for unsupported adapters. It stops short of explaining reversibility or side effects of apply=true.

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

Conciseness2/5

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

It is a dense run-on of fragmented clauses with heavy jargon ('high-level M6 unit', 'declared stage parameters') that is not front-loaded around the core action. Several clauses ('technical QA and temporal artistic review are distinct') add little for an invoking agent.

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?

For a 7-parameter mutation tool with 0% schema description coverage, the description is too abstract. Output schema exists so returns need not be explained, but the inputs, apply semantics, and workflow are under-specified for an agent to call it confidently.

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?

Schema coverage is 0% across 7 params. The description adds meaning for only three (apply default false, generation as plan.json reference, options as stage params/thresholds), leaving brief, intent, object_name, and operation_id entirely undocumented in both schema and description.

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

Purpose2/5

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

The description largely restates the name ('animation_generate_effector_contact: high-level M6 unit') and adds undefined jargon ('M6 unit'). It never explains what an 'effector contact' animation is or how it differs from close siblings like animation_generate_foot_contacts or animation_detect_contact_surface.

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?

'Plan first, apply=false by default' gives a real workflow precondition, and 'explicit mapping and compatible body rig required' states prerequisites. However, it never names an alternative tool or an explicit when-not-to-use condition, so routing among the many generate_* siblings is left to inference.

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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