Generates code in various programming languages based on natural language descriptions
AI agents invoke generate_code to trigger actions in MCP Server with Google ADK. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
While code generation itself is a Write-like action (producing text), the primary risk is that an AI agent could craft descriptions that produce malicious, backdoored, or destructive code which is then used downstream. On a server that also has an 'ask' and 'analyze_data' agent coordinated by an LLM router, generated code could be passed to an execution step automatically.
From the tool's definition 'Generates code in various programming languages based on natural language descriptions' — the tool produces executable code artifacts driven by arbitrary natural-language input
Documented attack patterns abuse exactly the kind of access generate_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Server with Google ADK, and nothing reaches the server without passing your rules. This is the rule we recommend for generate_code:
{
"version": "1",
"default": "deny",
"tools": {
"generate_code": {
"limits": [
{
"counter": "generate_code_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}generate_code stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Generates code in various programming languages based on natural language descriptions. It is categorised as a Execute tool in the MCP Server with Google ADK MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Server with Google ADK MCP server in PolicyLayer and add a rule for generate_code: 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 Server with Google ADK. Nothing to install.
generate_code is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the generate_code 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 generate_code. 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.
generate_code is provided by the MCP Server with Google ADK MCP server (zayedrais/ai_agent_with_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Server with Google ADK, 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.
4 MCP Server with Google ADK tools catalogued and risk-classified — across an index of 43,000+ MCP servers.