execute_code

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

With no annotations provided, the description fully carries the burden of behavioral disclosure. It details sandbox restrictions (no network, no filesystem writes outside temp, no home directory access) and a hard timeout, which is critical for autonomous agents.

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 concise at six lines, with a clear first-line purpose followed by bulleted restrictions. Every sentence adds value without redundancy, making it easy to parse.

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 code execution, the description covers safety, parameters, and expected returns (stdout, stderr, exit code). It is complete for an autonomous agent to use correctly, especially with the output schema presumed to exist.

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?

Schema coverage is 100% and both parameters have descriptions. The description adds context about timeout enforcement ('kills process if exceeded') but does not provide additional semantic guidance beyond what the schema already offers.

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 specifies that the tool executes Python code in a sandboxed environment on macOS. It distinguishes itself from the sibling 'execute_shell' by focusing on Python and detailing sandbox restrictions.

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?

While the description mentions 'Safe for autonomous agent tool-use', it does not explicitly state when to use this tool versus alternatives like 'execute_shell'. It implies usage for safe Python execution but lacks direct guidance on when not to use it.

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