sdk_screenshot_baseline_save · UI Bridge MCP: Risk & Policy

WHAT IT DOES

What sdk_screenshot_baseline_save does on UI Bridge MCP

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

WHY IT NEEDS A POLICY

Why sdk_screenshot_baseline_save needs a policy

The tool name implies it captures and persists a screenshot as a baseline reference, which is a write operation (creating/overwriting a stored artifact). The description is empty, lowering confidence. Severity is medium because overwriting a baseline could corrupt UI testing workflows, but it is reversible by saving a new baseline.

From the tool's definition Tool name: sdk_screenshot_baseline_save — the word 'save' implies writing/storing data; 'baseline' suggests it stores a reference screenshot for future comparisons.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

sdk_screenshot_baseline_save Rate-limited

sdk_screenshot_baseline_save 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "sdk_screenshot_baseline_save": {
      "limits": [
        {
          "counter": "sdk_screenshot_baseline_save_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches UI Bridge MCP, so you can run agents against it safely.

FAQ

Questions about sdk_screenshot_baseline_save

What does the sdk_screenshot_baseline_save tool do? +

sdk_screenshot_baseline_save. It is categorised as a Write tool in the UI Bridge 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 sdk_screenshot_baseline_save? +

Register the UI Bridge MCP server in PolicyLayer and add a rule for sdk_screenshot_baseline_save: 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 UI Bridge MCP. Nothing to install.

What risk level is sdk_screenshot_baseline_save? +

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

Can I rate-limit sdk_screenshot_baseline_save? +

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

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

sdk_screenshot_baseline_save is provided by the UI Bridge MCP server (qontinui/ui-bridge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.