Medium Risk

stackrollback

Create a draft version by reverting to a previous version's config. Copies components, config, and pricing from the target version. If a draft already exists, updates it in-place (single-draft rule). Use stackversions first to find available version numbers. REQUIRES: session_id from convoopen re...

Part of the InsideOut (Riley) server.

stackrollback can modify InsideOut (Riley) 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 stackrollback to create or modify resources in InsideOut (Riley). 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 stackrollback 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 InsideOut (Riley).

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

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

See the full InsideOut (Riley) policy for all 24 tools.

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These attack patterns abuse exactly the kind of access stackrollback 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 stackrollback 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 stackrollback tool do? +

Create a draft version by reverting to a previous version's config. Copies components, config, and pricing from the target version. If a draft already exists, updates it in-place (single-draft rule). Use stackversions first to find available version numbers. REQUIRES: session_id from convoopen response (format: sess_v2_...), version (target version number).. It is categorised as a Write tool in the InsideOut (Riley) MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on stackrollback? +

Register the InsideOut (Riley) MCP server in PolicyLayer and add a rule for stackrollback: 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 InsideOut (Riley). Nothing to install.

What risk level is stackrollback? +

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

Can I rate-limit stackrollback? +

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

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

stackrollback is provided by the InsideOut (Riley) MCP server (oci:docker.io/luthersystems/insideout-mcp:v0.36.3). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every InsideOut (Riley) tool call.

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