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python_file

Execute a Python script file by providing its file path. Run .py files directly within the current interpreter environment to automate tasks or test code.

Instructions

Execute a Python script file with the running interpreter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesPath to the .py file to run.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden but only states the action. It does not disclose key behaviors: whether output (stdout/stderr) is captured, error handling, timeout, side effects, or that it uses the current Python environment. The existence of an output schema is not mentioned or explained.

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?

The description is a single, front-loaded sentence with no fluff. However, it is slightly underspecified for the complexity of executing a script file; one more sentence could add behavioral detail without losing conciseness.

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

Completeness2/5

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

Given the tool executes a Python script, important details are missing: return format (stdout/exit code), error behavior, and how it differs from running inline code. The output schema exists but description ignores it. For a simple tool with one param, the description is 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% for the single parameter 'file', which is already described as 'Path to the .py file to run.' The description adds no extra context about path resolution, relative vs absolute, or format. Baseline 3 is appropriate as schema does the heavy lifting.

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 the verb 'Execute' and resource 'Python script file', distinguishing it from sibling tools like 'python_code' (inline code) and 'run_command' (arbitrary commands). However, it does not explicitly differentiate, and the phrase 'with the running interpreter' is slightly ambiguous.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'python_code' or 'run_command'. There are no prerequisites, exclusions, or context for appropriate use, leaving the agent to infer from the tool name alone.

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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