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python_code

Execute Python source code directly within the running interpreter to test scripts, run calculations, or automate tasks.

Instructions

Execute a Python snippet with the running interpreter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesThe Python source to execute.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so the description carries full burden. It states execution with 'the running interpreter' implying shared state and side effects, but does not specify if state is isolated, whether prints are captured, or if destructive operations are dangerous. Basic utility disclosure is minimal.

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?

Extremely concise: one sentence containing the essential action and context. No wasted words, though could add guidance without losing conciseness.

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?

With an output schema present, the description need not detail return values. However, given the tool's open-ended nature (executing arbitrary code), the description lacks warnings about side effects, security context, or isolation. Adequate but not complete for risk-aware usage.

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 a single parameter 'code' described as 'The Python source to execute.' The description adds no additional semantic meaning beyond this, so baseline 3 is appropriate.

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 a Python snippet' which defines the action and resource precisely. However, it does not distinguish from sibling tools like 'python_file' which executes a Python file rather than a snippet, but the difference is implicit.

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?

No explicit guidance on when to use this tool versus alternatives like 'python_file' or 'run_command'. The description implies usage for ad-hoc Python snippets, but lacks when-not-to-use or exclusion criteria.

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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