sync_feedback_to_jira · ProduckAI MCP Server MCP

WHAT IT DOES

What sync_feedback_to_jira does on ProduckAI MCP Server

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

WHY IT NEEDS A POLICY

Why sync_feedback_to_jira needs a policy

This tool creates new data artifacts (JIRA issues) in an external system based on feedback analysis. While reversible through standard JIRA deletion workflows, it modifies system state and could create numerous issues if misconfigured or abused by an agent. It does not execute arbitrary code, delete irreversibly, or move money, so Write is the appropriate category.

From the tool's definition Tool description states it will 'Create JIRA issues' and 'automatically sets priority' — these are create and modify operations on external systems (JIRA). The word 'Create' explicitly indicates data creation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

sync_feedback_to_jira Rate-limited

sync_feedback_to_jira 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": {
    "sync_feedback_to_jira": {
      "limits": [
        {
          "counter": "sync_feedback_to_jira_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 ProduckAI MCP Server, so you can run agents against it safely.

FAQ

Questions about sync_feedback_to_jira

What does the sync_feedback_to_jira tool do? +

Create JIRA issues from high-priority feedback. Uses VOC scores to prioritize which feedback to sync. Automatically sets priority based on VOC score and links issues back to feedback. It is categorised as a Write tool in the ProduckAI 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 sync_feedback_to_jira? +

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

What risk level is sync_feedback_to_jira? +

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

Can I rate-limit sync_feedback_to_jira? +

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

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

sync_feedback_to_jira is provided by the ProduckAI MCP Server MCP server (rohitsaraff33-bit/produckai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.