Low Risk

collect_feedback

收集用户反馈的交互式工具。AI可以汇报完成的工作,用户可以提供文字和/或图片反馈。 Args: work_summary: AI完成的工作内容汇报 timeout_seconds: 对话框超时时间(秒),默认300秒(5分钟) Returns: 包含用户反馈内容的列表,可能包含文本和图片

How to control collect_feedback ↓

AI agents call collect_feedback to retrieve information from Mcp Feedback Collector without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves user feedback through a dialog interface. While it presents information and waits for user input, it does not modify, execute code, delete data, or move money. The primary function is data collection and retrieval, making it a Read operation. The timeout parameter controls UI behavior but does not affect data persistence or external systems.

From the tool's definition The tool collects user feedback via an interactive GUI and returns feedback content (text and/or images). The description indicates it 'collects' (收集) user responses and 'returns' (Returns) feedback, with no modification, deletion, or external operation…

Documented attack patterns abuse exactly the kind of access collect_feedback gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Feedback Collector, and nothing reaches the server without passing your rules. This is the rule we recommend for collect_feedback:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "collect_feedback": {}
  }
}

collect_feedback is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Mcp Feedback Collector — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the collect_feedback tool do? +

收集用户反馈的交互式工具。AI可以汇报完成的工作,用户可以提供文字和/或图片反馈。 Args: work_summary: AI完成的工作内容汇报 timeout_seconds: 对话框超时时间(秒),默认300秒(5分钟) Returns: 包含用户反馈内容的列表,可能包含文本和图片. It is categorised as a Read tool in the Mcp Feedback Collector MCP Server, which means it retrieves data without modifying state.

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 Read tool with low risk. Read-only tools are generally safe to allow by default.

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 (sanshao85/mcp-feedback-collector). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Feedback Collector tool call.

Deterministic rules across all 3 Mcp Feedback Collector tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

3 Mcp Feedback Collector tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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