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Execute Python

execute_python

Execute Python code in an isolated Docker sandbox with automatic package detection, resource limits, and network disabled for safe testing.

Instructions

Execute Python code in an isolated Docker sandbox with network disabled, capability dropping, and resource limits (512MB RAM, 1 CPU, 60s timeout). Auto-detects and installs missing packages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesPython code to execute
timeoutNoExecution timeout in milliseconds
memory_limit_mbNoMemory limit in MB
save_artifactsNoWhether to save output files as artifacts
Behavior3/5

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

No annotations provided. Description covers sandbox details (network disabled, resource limits) and auto-install behavior, but does not disclose return format, error handling, or output structure.

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?

Two sentences with no redundancy. First sentence encapsulates core purpose and constraints, second adds key behavior (auto-install).

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

Completeness3/5

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

Covers security and auto-install but omits return value description and error behavior. With no output schema, agents lack full understanding of tool's response.

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 100% with detailed parameter descriptions. Description adds 'auto-detects missing packages' for the code parameter, which is a nice extra but not essential.

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 it executes Python code in a sandbox with security constraints. It is distinct from sibling tools (fetch_page, search) which are for web data retrieval.

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 use for safe Python execution but lacks explicit when-to-use or alternatives guidance. No mention of prerequisites 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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