ralph_hero__save_issue · Ralph Hero MCP: Risk & Policy

WHAT IT DOES

What ralph_hero__save_issue does on Ralph Hero

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

WHY IT NEEDS A POLICY

Why ralph_hero__save_issue needs a policy

This tool creates or modifies data reversibly across multiple issue dimensions. While it can change issue state (open/close) and assignments affecting workflow, these actions can be undone by reopening or reassigning. It does not delete data, execute arbitrary code, or move money, so it falls squarely in the Write category.

From the tool's definition Tool description explicitly states "update any combination of issue properties (title, body, labels, assignees, open/close)" – these are reversible modifications to GitHub issue data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ralph_hero__save_issue Rate-limited

ralph_hero__save_issue 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": {
    "ralph_hero__save_issue": {
      "limits": [
        {
          "counter": "ralph_hero__save_issue_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 Ralph Hero, so you can run agents against it safely.

FAQ

Questions about ralph_hero__save_issue

What does the ralph_hero__save_issue tool do? +

Unified issue mutation: update any combination of issue properties (title, body, labels, assignees, open/close). It is categorised as a Write tool in the Ralph Hero MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ralph_hero__save_issue? +

Register the Ralph Hero MCP server in PolicyLayer and add a rule for ralph_hero__save_issue: 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 Ralph Hero. Nothing to install.

What risk level is ralph_hero__save_issue? +

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

Can I rate-limit ralph_hero__save_issue? +

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

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

ralph_hero__save_issue is provided by the Ralph Hero MCP server (ralph-hero-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.