flow_update · DevFlow MCP Server MCP: Risk & Policy

WHAT IT DOES

What flow_update does on DevFlow MCP Server

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

WHY IT NEEDS A POLICY

Why flow_update needs a policy

The tool creates or modifies data without permanently destroying it (characteristic of Write category). The severity is medium because unintended workflow updates could disrupt development processes or introduce incorrect task states, but the effects are generally reversible. Confidence is 0.85 rather than higher because the description is minimal and does not specify the scope of updates or what 'flow' encompasses.

From the tool's definition Tool name 'flow_update' and description 'Update a flow' indicate data modification. The DevFlow context (development workflow management) suggests this modifies workflow state, task tracking, or planning data reversibly.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

flow_update Rate-limited

flow_update 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": {
    "flow_update": {
      "limits": [
        {
          "counter": "flow_update_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 DevFlow MCP Server, so you can run agents against it safely.

FAQ

Questions about flow_update

What does the flow_update tool do? +

Update a flow. It is categorised as a Write tool in the DevFlow MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on flow_update? +

Register the DevFlow MCP Server MCP server in PolicyLayer and add a rule for flow_update: 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 DevFlow MCP Server. Nothing to install.

What risk level is flow_update? +

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

Can I rate-limit flow_update? +

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

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

flow_update is provided by the DevFlow MCP Server MCP server (klausfreiberufler/devflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.