Medium Risk

playwright_create_baseline

Create a baseline screenshot for visual regression testing

How to control playwright_create_baseline ↓

What playwright_create_baseline does on RunAutomation MCP Server

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

Medium Risk

Why playwright_create_baseline needs a policy

This tool creates new data (baseline screenshots) that is used for comparison in subsequent test runs. It is Write rather than Execute because the primary effect is data creation, not arbitrary code execution.

From the tool's definition Tool creates and stores a baseline screenshot artifact for visual regression testing. The description explicitly states 'Create a baseline', and the context of Playwright automation indicates this writes persistent test data.

Documented attack patterns abuse exactly the kind of access playwright_create_baseline gives an agent:

How to control playwright_create_baseline

PolicyLayer is an MCP gateway — it sits between your AI agents and RunAutomation MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for playwright_create_baseline:

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

playwright_create_baseline 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.

  1. Create a free account and register RunAutomation MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about playwright_create_baseline

What does the playwright_create_baseline tool do? +

Create a baseline screenshot for visual regression testing. It is categorised as a Write tool in the RunAutomation MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on playwright_create_baseline? +

Register the RunAutomation MCP Server MCP server in PolicyLayer and add a rule for playwright_create_baseline: 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 RunAutomation MCP Server. Nothing to install.

What risk level is playwright_create_baseline? +

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

Can I rate-limit playwright_create_baseline? +

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

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

playwright_create_baseline is provided by the RunAutomation MCP Server MCP server (tayyabakmal1/runautomation-mcpserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every RunAutomation MCP Server tool call.

Start from RunAutomation MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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91 RunAutomation MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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