Medium Risk

edit_screens

Edits existing screens within a project using a text prompt. Instructions for Tool Call: * This action can take a few minutes to complete. Please be patient. DO NOT RETRY. * If the tool call fails due to connection error, the process may still succeed.

Part of the Mcp server.

edit_screens can modify Mcp 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 edit_screens to create or modify resources in Mcp. 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 edit_screens 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 Mcp.

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

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

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

Edits existing screens within a project using a text prompt. Instructions for Tool Call: * This action can take a few minutes to complete. Please be patient. DO NOT RETRY. * If the tool call fails due to connection error, the process may still succeed.. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on edit_screens? +

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

What risk level is edit_screens? +

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

Can I rate-limit edit_screens? +

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

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

edit_screens is provided by the MCP server (https://stitch.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp tool call.

Deterministic rules across all 14 Mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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