Medium Risk

manage_plugin

Install, activate, deactivate, or delete a WordPress plugin. Requires: API key with write scope. Args: slug: Site identifier action: "install", "activate", "deactivate", or "delete" plugin: Plugin slug (e.g. "akismet", "jetpack", "woocommerce") Returns: {"action": "install", "plugin": "jetpack", ...

Part of the BorealHost server.

manage_plugin can modify BorealHost 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 manage_plugin to create or modify resources in BorealHost. 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 manage_plugin 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 BorealHost.

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

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

See the full BorealHost policy for all 95 tools.

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

Install, activate, deactivate, or delete a WordPress plugin. Requires: API key with write scope. Args: slug: Site identifier action: "install", "activate", "deactivate", or "delete" plugin: Plugin slug (e.g. "akismet", "jetpack", "woocommerce") Returns: {"action": "install", "plugin": "jetpack", "result": {...}}. It is categorised as a Write tool in the BorealHost MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_plugin? +

Register the BorealHost MCP server in PolicyLayer and add a rule for manage_plugin: 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 BorealHost. Nothing to install.

What risk level is manage_plugin? +

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

Can I rate-limit manage_plugin? +

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

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

manage_plugin is provided by the BorealHost MCP server (pypi:borealhost-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every BorealHost tool call.

Deterministic rules across all 95 BorealHost tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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