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lu-zhengda

mcp-python-exec-sandbox

validate_script

Validate Python script metadata and dependencies without execution. Checks PEP 723 syntax, dependency format, and requires-python compatibility.

Instructions

Validate a Python script's PEP 723 metadata and dependencies without executing it.

Checks metadata syntax, dependency format, and requires-python compatibility.

Args: script: Python source code to validate. May include inline dependency metadata (# /// script blocks, see https://peps.python.org/pep-0723/). dependencies: Extra dependency specifiers to validate, using standard pip-style format like "requests>=2.28" (see https://peps.python.org/pep-0508/).

Returns: Validation result with metadata details or error information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scriptYes
dependenciesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Explicitly states it does not execute the script, a critical behavioral trait. No annotations are provided, so the description fully bears the transparency burden and does so well.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core purpose, uses clear bullet points for parameters and returns, no extraneous text. Every sentence adds value.

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

Completeness5/5

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

Adequately covers the validation tool given its complexity (2 params, 1 required), with output schema presence reducing the need to detail return values. Description is sufficient for an agent to understand usage and behavior.

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?

Adds meaning beyond the schema by describing the script parameter with PEP 723 context and the dependencies parameter with format examples and PEP 508 reference. Covers 100% of parameters despite 0% schema description coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool validates PEP 723 metadata and dependencies without executing, distinguishing it from sibling tools like execute_python and check_environment.

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?

Implies use for validation before execution, but does not explicitly state when not to use or compare with siblings. Could specify alternatives like check_environment for environment checks.

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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