Returns the full decompiled source code of a given class.
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 queries and retrieves decompiled Java/Android source code without creating, modifying, deleting, or executing anything. It has no side effects beyond data retrieval. The blast radius if misused by an AI agent is minimal—an attacker could only learn about application internals, not alter them or perform unauthorized actions.
From the tool's definition Tool name 'get_class_source' and description 'Returns the full decompiled source code of a given class' indicate a retrieval operation.
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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Returns the full decompiled source code of a given 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 (mobilehackinglab/jadx-mcp-plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Jadx MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
13 Jadx MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.