AI agents call get_package_tree to retrieve information from MCP Code Analysis Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves structural metadata about packages in a codebase. It is a read-only query operation with no side effects—it does not create, modify, execute, delete, or move data. The hierarchical package structure is static information already present in the repository. Misuse by an AI agent would have minimal impact (e.g., disclosure of code organization), but no destructive or operational consequence.
From the tool's definition Tool name 'get_package_tree' and description 'Get the hierarchical package structure' indicate a retrieval operation that queries and returns data about code organization without modifying, executing, or deleting anything.
Documented attack patterns abuse exactly the kind of access get_package_tree gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Code Analysis Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_package_tree:
{
"version": "1",
"default": "deny",
"tools": {
"get_package_tree": {}
}
}get_package_tree is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the hierarchical package structure. It is categorised as a Read tool in the MCP Code Analysis Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Code Analysis Server MCP server in PolicyLayer and add a rule for get_package_tree: 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 Code Analysis Server. Nothing to install.
get_package_tree 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_tree 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_tree. 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_tree is provided by the MCP Code Analysis Server MCP server (johannhartmann/mcpcodeanalysis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Code Analysis 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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44 MCP Code Analysis Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.