execute_blender_code

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions executing 'arbitrary Python code' and advises step-by-step execution, but fails to disclose critical traits such as security implications, error handling, execution environment details, or potential side effects (e.g., modifying Blender scenes). This is a significant gap for a tool that runs arbitrary code.

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

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

The description is appropriately sized and front-loaded, with the core purpose stated first. The two sentences are efficient, though the second sentence could be integrated more smoothly. There's no wasted text, making it easy for an agent to parse quickly.

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

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 and the presence of an output schema (which likely handles return values), the description is minimally adequate. However, it lacks details on execution behavior, error cases, and integration with Blender, which are crucial for safe and effective use. With no annotations and high-stakes functionality, it should do more to guide the agent.

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

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

The description adds meaningful semantics beyond the input schema: it explains that the 'code' parameter is 'The Python code to execute,' clarifying its purpose. Since schema description coverage is 0% and there's only one parameter, this compensates adequately, though it could provide more detail on code format or constraints.

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

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

The description clearly states the tool's purpose: 'Execute arbitrary Python code in Blender.' It specifies the verb ('Execute'), resource ('Python code'), and context ('in Blender'). However, it doesn't explicitly differentiate from sibling tools like 'execute_ops' which might also execute operations in Blender, leaving some ambiguity about when to choose one over the other.

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

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

The description provides implied usage guidance with 'Make sure to do it step-by-step by breaking it into smaller chunks,' suggesting a best practice for handling complex code. However, it doesn't explicitly state when to use this tool versus alternatives like 'execute_ops' or other siblings, nor does it mention prerequisites or exclusions, leaving the agent to infer context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.