memory_feedback · Eve Memory MCP: Risk & Policy

WHAT IT DOES

What memory_feedback does on Eve Memory

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

WHY IT NEEDS A POLICY

Why memory_feedback needs a policy

Based on the tool name alone, 'memory_feedback' likely submits feedback about memory entries, which would be a write/modification operation. Sibling tools like memory_ingest, memory_forget, and memory_search provide context that this server manages shared agent memory. Feedback typically modifies or annotates data reversibly. Confidence is low due to the empty description.

From the tool's definition Tool name 'memory_feedback' on a memory service; description is empty and uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

memory_feedback Rate-limited

memory_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": {
    "memory_feedback": {
      "limits": [
        {
          "counter": "memory_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 Eve Memory, so you can run agents against it safely.

FAQ

Questions about memory_feedback

What does the memory_feedback tool do? +

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

How do I enforce a policy on memory_feedback? +

Register the Eve Memory MCP server in PolicyLayer and add a rule for memory_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 Eve Memory. Nothing to install.

What risk level is memory_feedback? +

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

Can I rate-limit memory_feedback? +

Yes. Add a rate_limit block to the memory_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 memory_feedback completely? +

Set action: deny in the PolicyLayer policy for memory_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 memory_feedback? +

memory_feedback is provided by the Eve Memory MCP server (sherifkozman/eve-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.