Execute Python

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: secure isolated sandbox environment, return of both stdout and last expression, and language limitations (no C extensions). However, it doesn't mention potential execution time limits, memory constraints, or error handling behavior.

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 with three sentences that are front-loaded and efficient. Each sentence adds essential information about execution environment, return values, and limitations without any wasted words or redundancy.

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 tool's complexity (code execution in sandbox) with no annotations and no output schema, the description does well by covering execution environment, return values, and language constraints. However, it lacks details about error responses, execution limits, or security implications that would make it fully complete.

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 description coverage is 100% with one parameter clearly documented, so the baseline is 3. The description adds minimal value beyond the schema by mentioning that 'Standard output and the final expression are returned,' which slightly elaborates on the output behavior but doesn't provide additional parameter-specific details.

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 specific action ('Execute Python code') and resource ('in a secure isolated WebAssembly sandbox'), distinguishing it from the sibling execute_javascript tool by specifying Python execution. It provides precise details about the execution environment and language constraints.

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 implicitly suggests usage for Python code execution with constraints ('pure Python only, no C extensions'), but does not explicitly state when to use this tool versus execute_javascript or other alternatives. It provides clear context about limitations but lacks explicit comparative guidance.

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