Medium Risk

submit_feedback

Logs feedback for a query execution (rating, errors).

How to control submit_feedback ↓

What submit_feedback does on 3DCityDB MCP Server

AI agents use submit_feedback to create or update resources in 3DCityDB MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 3DCityDB MCP Server environment.

Medium Risk

Why submit_feedback needs a policy

This tool creates or records new feedback data, which is a reversible write operation. It has minimal blast radius since feedback logging is non-destructive and does not affect the primary database or execute arbitrary operations. Low severity because even malicious feedback cannot cause significant harm to the system or data integrity.

From the tool's definition Tool description states 'Logs feedback for a query execution (rating, errors)' - the word 'Logs' indicates data recording/creation. No deletion, financial movement, or code execution involved. The feedback mechanism creates new records in a logging system.

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

How to control submit_feedback

PolicyLayer is an MCP gateway — it sits between your AI agents and 3DCityDB MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for submit_feedback:

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

submit_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.

  1. Create a free account and register 3DCityDB 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.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about submit_feedback

What does the submit_feedback tool do? +

Logs feedback for a query execution (rating, errors). It is categorised as a Write tool in the 3DCityDB 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 submit_feedback? +

Register the 3DCityDB MCP Server MCP server in PolicyLayer and add a rule for submit_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 3DCityDB MCP Server. Nothing to install.

What risk level is submit_feedback? +

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

Can I rate-limit submit_feedback? +

Yes. Add a rate_limit block to the submit_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 submit_feedback completely? +

Set action: deny in the PolicyLayer policy for submit_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 submit_feedback? +

submit_feedback is provided by the 3DCityDB MCP Server MCP server (tum-gis/3dcitydb-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every 3DCityDB MCP Server tool call.

Start from 3DCityDB MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

14 3DCityDB MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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