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luutuankiet

MCP Python Interpreter

by luutuankiet

install_package

Install a Python package in the specified environment, with option to upgrade if already installed.

Instructions

Install a Python package in the specified environment.

Args:
    package_name: Name of the package to install
    environment: Name of the Python environment (default if custom path provided, otherwise system)
    upgrade: Whether to upgrade the package if already installed (default: False)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
package_nameYes
environmentNodefault
upgradeNo
Behavior2/5

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

No annotations are present, so the description must carry full behavioral disclosure. It only states 'Install a Python package', omitting critical details such as network requirements, system modifications, required permissions, or potential side effects. This is insufficient for a mutation tool.

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 concise, with a one-line summary followed by parameter details. It is front-loaded and contains no extraneous information, though it could be slightly more compact.

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?

No output schema is provided, so the description should cover return values or status indicators, but it does not. It also lacks mention of dependencies (e.g., pip, internet) or environment restrictions. Overall, it is adequate but leaves gaps for a complete understanding.

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 coverage is 0%, meaning parameters have no schema descriptions. The description adds value by explaining each parameter's meaning, including defaults and behavior (e.g., environment fallback, upgrade flag). This adequately compensates for the missing schema descriptions.

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?

The description clearly specifies the verb 'Install' and resource 'Python package', and it distinguishes from sibling tools like list_installed_packages and list_python_environments by focusing on installation rather than inspection.

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 explains the tool's function but does not provide guidance on when to use it versus alternatives, nor does it mention prerequisites or when to avoid it. The 'upgrade' parameter hints at conditional usage, but explicit context is missing.

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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