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execute_blender_code

Run Python code inside Blender's sandboxed environment. Automate 3D modeling, animation, and rendering with secure execution of scripts.

Instructions

Execute Python code inside Blender's sandboxed environment.

The code runs in a restricted sandbox that blocks dangerous imports (os, subprocess, socket, etc.) and dangerous builtins (exec, eval, open). Safe Blender imports (bpy, bmesh, mathutils, math, json) are allowed.

Args: code: Python code to execute. bpy is available but must be imported.

Returns: Dict with 'output' (captured stdout) and 'success' boolean.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description effectively discloses the sandbox restrictions, blocked imports, allowed imports, and return format. It provides sufficient behavioral context for an agent to understand safety and output.

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 concise, with a front-loaded purpose sentence, followed by details on restrictions and input/output structure. Every sentence adds value without redundancy.

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

Completeness4/5

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

Given the complexity of executing arbitrary code, the description covers sandbox, allowed imports, and return structure. Minor omission of limits on execution time or output size, but overall complete for an agent.

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

Parameters4/5

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

The sole parameter 'code' has no schema description (0% coverage), but the description adds meaning by stating it accepts Python code and noting that bpy must be imported. This compensates for the schema gap.

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 executes Python code in Blender's sandboxed environment. It distinguishes itself from over 100 sibling tools that perform specific operations, as it is the only one for arbitrary code execution.

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?

The description implies usage for custom scripts but does not explicitly state when to choose this tool over dedicated Blender operation tools. It lacks direct guidance on alternative tools or specific use cases.

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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