Medium Risk

open_feedback_session

Open a feedback session after thumbs up/down. Follow-up messages will be captured for 60s.

Part of the MCP Memory Gateway server.

open_feedback_session can modify MCP Memory Gateway data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use open_feedback_session to create or modify resources in MCP Memory Gateway. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call open_feedback_session repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach MCP Memory Gateway.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "open_feedback_session": {
      "limits": [
        {
          "counter": "open_feedback_session_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full MCP Memory Gateway policy for all 57 tools.

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These attack patterns abuse exactly the kind of access open_feedback_session gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so open_feedback_session only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the open_feedback_session tool do? +

Open a feedback session after thumbs up/down. Follow-up messages will be captured for 60s.. It is categorised as a Write tool in the MCP Memory Gateway MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on open_feedback_session? +

Register the MCP Memory Gateway MCP server in PolicyLayer and add a rule for open_feedback_session: 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 Memory Gateway. Nothing to install.

What risk level is open_feedback_session? +

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

Can I rate-limit open_feedback_session? +

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

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

open_feedback_session is provided by the MCP Memory Gateway MCP server (IgorGanapolsky/mcp-memory-gateway). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Memory Gateway tool call.

Deterministic rules across all 57 MCP Memory Gateway tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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