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PortPro-Technologies-Inc

MCP Python Interpreter

write_python_file

Create or update Python files directly in the working directory. Specify the file path, content, and optional overwrite setting to manage scripts efficiently. Part of the MCP Python Interpreter for streamlined development workflows.

Instructions

Write content to a Python file in the working directory or system-wide if allowed.

Args:
    file_path: Path to the file to write (relative to working directory or absolute if system access is enabled)
    content: Content to write to the file
    overwrite: Whether to overwrite the file if it exists (default: False)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
file_pathYes
overwriteNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions that overwriting is optional (default: False) and system access may be required, but doesn't disclose critical behaviors like error handling (e.g., if file doesn't exist or path is invalid), permissions needed, or side effects. For a mutation tool with zero annotation coverage, this leaves significant gaps in behavioral understanding.

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 appropriately sized with a clear opening sentence and a structured Args section. Every sentence adds value, and it's front-loaded with the main purpose. Minor improvements could include removing redundancy in the Args (e.g., 'default: False' is already in schema) or tightening phrasing.

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 no annotations, no output schema, and a mutation tool with 3 parameters, the description is incomplete. It covers basic parameter semantics but lacks details on behavioral traits (e.g., errors, permissions), return values, or interactions with siblings. For a file-writing operation, more context on safety and outcomes is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds meaningful semantics for all three parameters: 'file_path' is explained as relative or absolute, 'content' as what to write, and 'overwrite' with its default and purpose. This goes beyond the bare schema, though it could detail format constraints (e.g., Python syntax).

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 ('Write') and resource ('Python file'), specifying it writes content to a file. It distinguishes from siblings like 'write_file' by specifying Python files, but doesn't explicitly contrast with other file operations. The purpose is specific but could better differentiate from similar tools.

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?

The description implies usage for writing Python files in the working directory or system-wide, with a note about system access. However, it doesn't explicitly state when to use this vs. alternatives like 'write_file' or 'run_python_code', nor does it mention prerequisites or exclusions. Usage is contextually implied but lacks clear guidance on tool selection.

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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