Medium Risk

faf_init

Create project.faf (project DNA for AI) - Makes your project instantly AI-readable 🧡⚡️. Just enter path or project name. Examples: ~/Projects/my-app, my-app, /full/path/to/project

Risk signalsAccepts file system path (path)

Part of the Faf server.

faf_init can modify Faf data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use faf_init to create or modify resources in Faf. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call faf_init repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Faf.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "faf_init": {
      "limits": [
        {
          "counter": "faf_init_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Faf policy for all 32 tools.

Get this rule live on your own Faf server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access faf_init gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so faf_init only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the faf_init tool do? +

Create project.faf (project DNA for AI) - Makes your project instantly AI-readable 🧡⚡️. Just enter path or project name. Examples: ~/Projects/my-app, my-app, /full/path/to/project. It is categorised as a Write tool in the Faf MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on faf_init? +

Register the Faf MCP server in PolicyLayer and add a rule for faf_init: 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.

What risk level is faf_init? +

faf_init is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit faf_init? +

Yes. Add a rate_limit block to the faf_init 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.

How do I block faf_init completely? +

Set action: deny in the PolicyLayer policy for faf_init. 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.

What MCP server provides faf_init? +

faf_init 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.

Enforce policy on every Faf tool call.

Deterministic rules across all 32 Faf tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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