Search for packages in package indices (PyPI, npm, crates.io, Terraform Registry)
AI agents call search_package to retrieve information from Pacman without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and queries package information from public registries without modifying, executing, or deleting any data. This is a straightforward informational lookup with no side effects or destructive capability.
From the tool's definition Tool name 'search_package' combined with description 'Search for packages in package indices' indicates read-only query operations against PyPI, npm, crates.io, and Terraform Registry.
Documented attack patterns abuse exactly the kind of access search_package gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pacman, and nothing reaches the server without passing your rules. This is the rule we recommend for search_package:
{
"version": "1",
"default": "deny",
"tools": {
"search_package": {}
}
} search_package is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for packages in package indices (PyPI, npm, crates.io, Terraform Registry). It is categorised as a Read tool in the Pacman MCP Server, which means it retrieves data without modifying state.
Register the Pacman MCP server in PolicyLayer and add a rule for search_package: 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 Pacman. Nothing to install.
search_package 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 search_package 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 search_package. 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.
search_package is provided by the Pacman MCP server (oborchers/mcp-server-pacman). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Pacman, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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5 Pacman tools catalogued and risk-classified — across an index of 43,000+ MCP servers.