collect_feedback · MCP Feedback Collector MCP: Risk & Policy

WHAT IT DOES

What collect_feedback does on MCP Feedback Collector

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

WHY IT NEEDS A POLICY

Why collect_feedback needs a policy

This tool collects and presumably stores user feedback (text and image-based responses). Collecting and recording feedback is a Write operation — it creates new data records. It is reversible (feedback entries can be deleted), so it does not qualify as Destructive. The blast radius is medium because misuse could submit false or misleading feedback on behalf of users.

From the tool's definition '收集用户反馈的交互式工具' (interactive tool for collecting user feedback)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

collect_feedback Rate-limited

collect_feedback 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": {
    "collect_feedback": {
      "limits": [
        {
          "counter": "collect_feedback_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 MCP Feedback Collector, so you can run agents against it safely.

FAQ

Questions about collect_feedback

What does the collect_feedback tool do? +

收集用户反馈的交互式工具. It is categorised as a Write tool in the MCP Feedback Collector MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on collect_feedback? +

Register the MCP Feedback Collector MCP server in PolicyLayer and add a rule for collect_feedback: 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 MCP Feedback Collector. Nothing to install.

What risk level is collect_feedback? +

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

Can I rate-limit collect_feedback? +

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

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

collect_feedback is provided by the MCP Feedback Collector MCP server (keizman/mcp-feedforward). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.