list_installed_packages

List installed packages for a specific Python environment.

Server MCP Python Interpreter luutuankiet/mcp-python-interpreter
Category Read
Risk class Low
Parameters 00 required

What list_installed_packages does on MCP Python Interpreter

AI agents call list_installed_packages to retrieve information from MCP Python Interpreter without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why list_installed_packages needs a policy

This tool retrieves and displays information about installed packages in a Python environment. It performs a read-only query with no capability to modify, delete, execute, or create resources. The blast radius of misuse is minimal—an attacker could only gain visibility into what packages are available, which does not enable further compromise without additional tools from the sibling set.

From the tool's definition Tool name: 'list_installed_packages'. Description: 'List installed packages for a specific Python environment.' The verb 'List' combined with 'installed packages' indicates querying/retrieving information with no side effects.

Questions about list_installed_packages

What does the list_installed_packages tool do? +

List installed packages for a specific Python environment. It is categorised as a Read tool in the MCP Python Interpreter MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_installed_packages? +

Register the MCP Python Interpreter MCP server in PolicyLayer and add a rule for list_installed_packages: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MCP Python Interpreter. Nothing to install.

What risk level is list_installed_packages? +

list_installed_packages is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_installed_packages? +

Yes. Add a rate_limit block to the list_installed_packages rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block list_installed_packages completely? +

Set action: deny in the PolicyLayer policy for list_installed_packages. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides list_installed_packages? +

list_installed_packages is provided by the MCP Python Interpreter MCP server (luutuankiet/mcp-python-interpreter). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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