🗣️ Natural language project.faf generation - Ask 6W questions (Who/What/Why/Where/When/How) to build complete human context 🧡⚡️
Part of the Faf server.
Free to start. No card required.
AI agents invoke faf_chat to trigger processes or run actions in Faf. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
faf_chat can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"faf_chat": {
"limits": [
{
"counter": "faf_chat_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Faf policy for all 32 tools.
These attack patterns abuse exactly the kind of access faf_chat gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
🗣️ Natural language project.faf generation - Ask 6W questions (Who/What/Why/Where/When/How) to build complete human context 🧡⚡️. It is categorised as a Execute tool in the Faf MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Faf MCP server in PolicyLayer and add a rule for faf_chat: 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 Faf. Nothing to install.
faf_chat 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 faf_chat 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 faf_chat. 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.
faf_chat is provided by the Faf MCP server (faf-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 32 Faf tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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