Medium Risk

domshell_select

Select an option from a <select> dropdown element. Matches by option value first, then by visible text (case-insensitive). Dispatches change and input events to trigger form updates.\n\nExamples:\n select language_dropdown en\n select country_select United States

Part of the DOMShell server.

domshell_select can modify DOMShell 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 domshell_select to create or modify resources in DOMShell. 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 domshell_select 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 DOMShell.

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

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

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These attack patterns abuse exactly the kind of access domshell_select gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so domshell_select 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 domshell_select tool do? +

Select an option from a <select> dropdown element. Matches by option value first, then by visible text (case-insensitive). Dispatches change and input events to trigger form updates.\n\nExamples:\n select language_dropdown en\n select country_select United States. It is categorised as a Write tool in the DOMShell MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on domshell_select? +

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

What risk level is domshell_select? +

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

Can I rate-limit domshell_select? +

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

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

domshell_select is provided by the DOMShell MCP server (@apireno/domshell). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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