feedback_resolve · Feedbucket MCP Server MCP: Risk & Policy

WHAT IT DOES

What feedback_resolve does on Feedbucket MCP Server

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

WHY IT NEEDS A POLICY

Why feedback_resolve needs a policy

This tool changes the status of feedback items from unresolved to resolved, which is a write operation that modifies data state. It is reversible (can be reopened), so it does not qualify as Destructive.

From the tool's definition Tool name 'feedback_resolve' and description 'Mark a feedback item as resolved after actioning it' indicates modifying the state/status of feedback items, which is a reversible state change rather than deletion.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

feedback_resolve Rate-limited

feedback_resolve 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": {
    "feedback_resolve": {
      "limits": [
        {
          "counter": "feedback_resolve_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 Feedbucket MCP Server, so you can run agents against it safely.

FAQ

Questions about feedback_resolve

What does the feedback_resolve tool do? +

Mark a feedback item as resolved after actioning it. It is categorised as a Write tool in the Feedbucket MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on feedback_resolve? +

Register the Feedbucket MCP Server MCP server in PolicyLayer and add a rule for feedback_resolve: 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 Feedbucket MCP Server. Nothing to install.

What risk level is feedback_resolve? +

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

Can I rate-limit feedback_resolve? +

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

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

feedback_resolve is provided by the Feedbucket MCP Server MCP server (swiftcomza/feedbucket-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

feedback_resolve is one line of Feedbucket MCP Server's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

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