Generate a complete TypeScript code example for an endpoint
AI agents invoke generate_code_example to trigger actions in Sufetch. 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.
The tool generates and likely executes or outputs runnable TypeScript code. While it may only produce code text without running it, 'generate' for code examples implies producing executable artifacts. If the code is merely returned as a string, it would be Write/Read, but given it's framed as a complete executable example and could trigger downstream execution, Execute is most appropriate.
From the tool's definition Generate a complete TypeScript code example for an endpoint
Documented attack patterns abuse exactly the kind of access generate_code_example gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sufetch, and nothing reaches the server without passing your rules. This is the rule we recommend for generate_code_example:
{
"version": "1",
"default": "deny",
"tools": {
"generate_code_example": {
"limits": [
{
"counter": "generate_code_example_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}generate_code_example 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.
Free to start. No card required.
Generate a complete TypeScript code example for an endpoint. It is categorised as a Execute tool in the Sufetch MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sufetch MCP server in PolicyLayer and add a rule for generate_code_example: 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 Sufetch. Nothing to install.
generate_code_example 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_example 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_example. 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_example is provided by the Sufetch MCP server (productdevbook/sufetch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Sufetch, 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.
7 Sufetch tools catalogued and risk-classified — across an index of 43,000+ MCP servers.