config_set · Claude Flow MCP: Risk & Policy

WHAT IT DOES

What config_set does on Claude Flow

AI agents use config_set to create or update resources in Claude Flow — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude Flow environment.

WHY IT NEEDS A POLICY

Why config_set needs a policy

The tool creates or modifies configuration data that affects runtime behavior of critical infrastructure components (daemon, MCP server, neural router). While reversible (configurations can be changed), this is a Write operation rather than Read.

From the tool's definition Tool description states "Set configuration value" and explicitly indicates it modifies runtime configuration that is "read by the Ruflo runtime (daemon, MCP server, neural router)". This is a write operation that modifies system configuration.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

config_set Rate-limited

config_set stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "config_set": {
      "limits": [
        {
          "counter": "config_set_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Claude Flow, so you can run agents against it safely.

FAQ

Questions about config_set

What does the config_set tool do? +

Set configuration value Use when native settings.json edits are wrong because the values need to be read by the Ruflo runtime (daemon, MCP server, neural router) — those load via the config_* path, not by re-reading settings.json. For .gitignore / .editorconfig style files, native Edit is fine. It is categorised as a Write tool in the Claude Flow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on config_set? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for config_set: 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 Claude Flow. Nothing to install.

What risk level is config_set? +

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

Can I rate-limit config_set? +

Yes. Add a rate_limit block to the config_set 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 config_set completely? +

Set action: deny in the PolicyLayer policy for config_set. 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 config_set? +

config_set is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.