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python_eval

Execute Python code in a sandboxed Docker container with pre-installed reverse engineering libraries (pwntools, capstone, etc.). Session state persists across calls.

Instructions

Execute Python code in a sandboxed Docker container. Pre-installed packages: pwntools, capstone, keystone, unicorn, lief, yara, pycryptodome. Session state (variables, imports) persists across calls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesPython code to execute
timeoutNoTimeout in milliseconds (default from ESQUIE_SANDBOX_TIMEOUT or 30000)
Behavior4/5

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

With no annotations, the description carries the burden and provides meaningful transparency: it discloses sandboxing, pre-installed packages, and persistent session state. It does not mention error handling or output format, but the disclosed traits are significant and beyond the schema.

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 three concise, front-loaded sentences: the core action, the package list, and the session persistence detail. No wasted words.

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?

While the description covers execution context and pre-installed tools, it does not describe the return value (e.g., stdout/stderr) or how to reset persistent state, both useful given there is no output schema. The information provided is useful but incomplete.

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 100%, with both 'code' and 'timeout' described. The description adds no additional parameter-level detail beyond what the schema already provides, so the baseline of 3 is appropriate.

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 states 'Execute Python code in a sandboxed Docker container' which is a specific verb+resource with clear scope. It distinguishes this tool from sibling utilities like hex conversion, hashing, and sandbox file management.

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

Usage Guidelines4/5

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

The description implies when to use the tool by listing pre-installed packages (pwntools, capstone, etc.) and noting session persistence, which helps an agent decide if this is the right sandboxed execution environment. However, it does not explicitly exclude alternatives or mention when to use reset_sandbox.

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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