AI agents call get_package_dependencies to retrieve information from PyPI Query MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves package dependency information from PyPI. It is a query operation that does not create, modify, delete, or execute any code. The pattern matches the Read category: retrieving or querying data with no side effects. Low severity because misuse (e.g., querying dependencies for malicious purposes) does not directly compromise systems—it only gathers information.
From the tool's definition Tool name 'get_package_dependencies' combined with sibling tools that all perform read-only queries (get_package_info, get_package_versions, get_download_statistics, check_package_python_compatibility, etc.).
Documented attack patterns abuse exactly the kind of access get_package_dependencies gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PyPI Query MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_package_dependencies:
{
"version": "1",
"default": "deny",
"tools": {
"get_package_dependencies": {}
}
}get_package_dependencies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_package_dependencies. It is categorised as a Read tool in the PyPI Query MCP Server MCP Server, which means it retrieves data without modifying state.
Register the PyPI Query MCP Server MCP server in PolicyLayer and add a rule for get_package_dependencies: 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 PyPI Query MCP Server. Nothing to install.
get_package_dependencies is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_package_dependencies 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.
Set action: deny in the PolicyLayer policy for get_package_dependencies. 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.
get_package_dependencies is provided by the PyPI Query MCP Server MCP server (loonghao/pypi-query-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from PyPI Query MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 PyPI Query MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.