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veoery
by veoery

execute_grasshopper_code

Execute Python code for Grasshopper modeling, save the script to a specified file path, and retrieve execution results.

Instructions

Execute given Python code.

Args: code: The given code to execute file_path: Path where the generated code will be saved

Returns: Result of the executing code

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
file_pathYes
Behavior2/5

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

With no annotations, the description carries full burden. It mentions execution and file saving but omits critical behavioral traits like security risks, side effects, or return value specifics. 'Result of the executing code' is vague.

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 short and front-loaded with the core action. It includes sections for Args and Returns without unnecessary text. Could be slightly more efficient but acceptable.

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?

For a code execution tool that saves to a file, the description lacks important details: execution environment, output format, error behavior, and prerequisites. Without output schema, return value is ambiguous. Incomplete for safe use.

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 coverage is 0%, so the description adds value by listing and briefly explaining both parameters. However, explanations are minimal (e.g., 'The given code to execute') and lack details like supported formats or constraints.

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 'Execute given Python code' which specifies a verb and resource. However, it does not distinguish this tool from siblings like 'run_grasshopper_definition', leaving ambiguity about when to use each.

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. It lacks any 'when to use' or 'when not to use' context, making it hard for an agent to choose appropriately.

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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