AI agents call get_class_source to retrieve information from JADX-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 decompiled Java source code for analysis purposes. It performs no modifications, deletions, or external operations. While the server enables reverse engineering of Android apps, the tool itself is purely informational—it queries and returns data without altering any state.
From the tool's definition Tool name 'get_class_source' and description 'Fetch the Java source of a specific class' indicate a retrieval operation with no side effects. The verb 'fetch' is explicitly used, which is a classic Read pattern.
Documented attack patterns abuse exactly the kind of access get_class_source gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and JADX-MCP-SERVER, and nothing reaches the server without passing your rules. This is the rule we recommend for get_class_source:
{
"version": "1",
"default": "deny",
"tools": {
"get_class_source": {}
}
}get_class_source is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Fetch the Java source of a specific class. It is categorised as a Read tool in the JADX-MCP-SERVER MCP Server, which means it retrieves data without modifying state.
Register the JADX-MCP-SERVER MCP server in PolicyLayer and add a rule for get_class_source: 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 JADX-MCP-SERVER. Nothing to install.
get_class_source 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_class_source 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_class_source. 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_class_source is provided by the JADX-MCP-SERVER MCP server (zinja-coder/jadx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 32 JADX-MCP-SERVER tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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32 JADX-MCP-SERVER tools catalogued and risk-classified — across an index of 42,500+ MCP servers.