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execute_blender_code

Run Python code directly in Blender to automate 3D modeling, scene manipulation, and material management tasks through step-by-step execution.

Instructions

Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.

Parameters:

  • code: The Python code to execute

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions executing 'arbitrary Python code' and the step-by-step approach, but lacks critical behavioral details such as security implications, execution environment constraints, error handling, or performance considerations. This is inadequate for a tool with mutation potential.

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

Conciseness4/5

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

The description is front-loaded with the core purpose, followed by a usage tip and parameter list. It's appropriately sized with no redundant sentences, though the parameter section could be more integrated. Every sentence adds value, making it efficient.

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 complexity of executing arbitrary code in Blender, no annotations, no output schema, and low schema coverage, the description is incomplete. It misses details on return values, error conditions, and safety warnings, which are crucial for such a powerful tool.

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

Parameters3/5

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

Schema description coverage is 0%, and the description lists the 'code' parameter with a brief explanation ('The Python code to execute'). This adds basic meaning beyond the schema, but doesn't elaborate on format, constraints, or examples. With only one parameter, the baseline is 4, but the minimal detail reduces it to 3.

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 action ('Execute arbitrary Python code') and target environment ('in Blender'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools, which are mostly about downloading, generating, importing, or querying assets rather than 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 includes the instruction 'Make sure to do it step-by-step by breaking it into smaller chunks,' which implies usage context for handling complex code. However, it doesn't explicitly state when to use this tool versus alternatives or provide clear exclusions, leaving some ambiguity.

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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