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blender-mcp

blender-mcp

by kleer001
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

set_keyframe

Insert a keyframe on an object property at a specific frame, with support for individual channels (X, Y, Z) or all channels at once.

Instructions

Insert a keyframe on an object property at a specific frame. Use index for individual channels (0=X, 1=Y, 2=Z), or -1 for all channels.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "object": "<object>",
      "data_path": "<data_path>",
      "frame": "<frame>"
    },
    "name": "set_keyframe"
  }
}

Input Schema

NameRequiredDescriptionDefault
frameYes
indexNo
valueNo
objectYes
data_pathYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden. It states the action ('Insert') and explains index usage, but does not disclose side effects (e.g., overwriting existing keyframes), prerequisites (e.g., object existence), or error behavior. This is a significant gap for a write operation.

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 sentences long, front-loads the core purpose, and contains no redundant information. Every sentence adds value.

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?

Given the tool's complexity (5 parameters, no annotations, no output description), the description is too minimal. It lacks return value/response information, error handling, and any relationship to sibling animation tools, making it incomplete for an AI agent deciding whether to invoke it.

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%, and the description must compensate. It explains the 'index' parameter meaningfully (0=X, 1=Y, 2=Z, -1=all), but does not clarify 'data_path', 'value', or 'frame' semantics beyond their names. This is insufficient for 5 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?

The description clearly states the tool's function: 'Insert a keyframe on an object property at a specific frame.' This is specific with a verb and resource. However, it does not distinguish itself from the sibling 'set_keyframes' tool, so it lacks explicit differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives like 'set_keyframes', 'delete_keyframe', or 'get_keyframes'. It only explains index channel semantics, not context or exclusions.

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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