Low Risk

collect_feedback

Submit feedback

How to control collect_feedback ↓

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

Low Risk

Even though collect_feedback only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

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 Scrivener MCP Server, 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 Scrivener MCP Server — 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? +

Submit feedback. It is categorised as a Read tool in the Scrivener MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on collect_feedback? +

Register the Scrivener MCP Server 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 Scrivener MCP Server. 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 Scrivener MCP Server MCP server (writerslogic/scrivener-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Scrivener MCP Server tool call.

Deterministic rules across all 62 Scrivener MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

62 Scrivener MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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