knowledge_draft_reject · DevFlow MCP Server MCP

WHAT IT DOES

What knowledge_draft_reject does on DevFlow MCP Server

AI agents use knowledge_draft_reject 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 knowledge_draft_reject needs a policy

This tool creates or modifies data reversibly (rejection status and notes) rather than irreversibly deleting data. A user or agent can theoretically re-submit or un-reject a draft through other tools. The blast radius is medium: incorrect rejections could block legitimate work items, but the state change is auditable and potentially reversible via other DevFlow operations.

From the tool's definition Tool description: 'Reject a draft with optional reviewer notes. Rejected drafts are remembered — dedup will not propose the same title again.' The action modifies state by recording a rejection decision and updating internal dedup logic, preventing future…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

knowledge_draft_reject Rate-limited

knowledge_draft_reject 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": {
    "knowledge_draft_reject": {
      "limits": [
        {
          "counter": "knowledge_draft_reject_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 knowledge_draft_reject

What does the knowledge_draft_reject tool do? +

Reject a draft with optional reviewer notes. Rejected drafts are remembered — dedup will not propose the same title again. 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 knowledge_draft_reject? +

Register the DevFlow MCP Server MCP server in PolicyLayer and add a rule for knowledge_draft_reject: 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 knowledge_draft_reject? +

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

Can I rate-limit knowledge_draft_reject? +

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

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

knowledge_draft_reject 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.