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Blender Production MCP

Blender Production MCP

by DiegoArias32

production.mesh_signature

Generate compact per-section fingerprints of a mesh covering topology, geometry, shape keys, UVs, materials, and armature modifiers, storing the full signature locally without returning per-vertex data.

Instructions

Compact per-section fingerprints of a mesh (topology, geometry, shape keys, vertex groups/weights, UV/UDIM, normals, materials, armature modifiers, relationships, transform, custom properties). The full signature is stored locally; no per-vertex data is returned.

Input Schema

NameRequiredDescriptionDefault
object_nameYes
operation_idNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.9.0

TDQS

B3.3/5.0
Behavior4/5

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

The description adds important context beyond the annotations: the full signature is stored locally, and no per-vertex data is returned. This explains the non-read-only mutation implied by readOnlyHint=false and sets expectations about output size. It does not describe permissions or repeat-call behavior, but the annotations already cover idempotency and destructiveness.

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

Conciseness5/5

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

The description is two tight sentences with no filler. The component list is front-loaded and the local-storage caveat is appropriately placed at the end.

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

Completeness3/5

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

Because an output schema exists, return values need not be explained, and the description adequately conveys what the fingerprint covers. However, it leaves operation_id undocumented and provides no usage context within a very large sibling tool set, which limits an agent's ability to select 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 description coverage is 0%, so the description must compensate but does not. The phrase 'of a mesh' loosely implies that object_name identifies the mesh, but operation_id is never mentioned, leaving half the parameters unexplained.

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?

The description clearly states that this tool produces compact per-section fingerprints of a mesh and enumerates the covered sections (topology, geometry, shape keys, UV/UDIM, etc.). It is far more specific than a tautology, but it does not explicitly differentiate itself from any sibling tool in the large production namespace.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as production.diff_scene, production.create_checkpoint, or other inspection tools. The only usage-adjacent information is the side-effect note about local storage, which is behavioral rather than workflow guidance.

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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