Get ALL failure evidence for a test in one call \u2014 error, steps to reproduce, action timeline, network, console, DOM snapshot, and screenshots. Replaces calling 6+ tools separately. Use for Jira attachments with outputFile: true.
AI agents call e2e_get_evidence_bundle to retrieve information from Playwright Autopilot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool collects and returns existing evidence (logs, snapshots, screenshots, network traces) from a completed test run. It performs read-only retrieval of debug information with no side effects on the application under test, the test framework, or external systems. The 'outputFile: true' option writes to local storage but does not modify application data or trigger financial/destructive operations.
From the tool's definition 'Get ALL failure evidence for a test in one call — error, steps to reproduce, action timeline, network, console, DOM snapshot, and screenshots.' The tool retrieves and aggregates diagnostic data from a test execution without modifying state or triggering new…
Documented attack patterns abuse exactly the kind of access e2e_get_evidence_bundle gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright Autopilot, and nothing reaches the server without passing your rules. This is the rule we recommend for e2e_get_evidence_bundle:
{
"version": "1",
"default": "deny",
"tools": {
"e2e_get_evidence_bundle": {}
}
}e2e_get_evidence_bundle is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get ALL failure evidence for a test in one call \u2014 error, steps to reproduce, action timeline, network, console, DOM snapshot, and screenshots. Replaces calling 6+ tools separately. Use for Jira attachments with outputFile: true. It is categorised as a Read tool in the Playwright Autopilot MCP Server, which means it retrieves data without modifying state.
Register the Playwright Autopilot MCP server in PolicyLayer and add a rule for e2e_get_evidence_bundle: 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 Playwright Autopilot. Nothing to install.
e2e_get_evidence_bundle is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the e2e_get_evidence_bundle 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.
Set action: deny in the PolicyLayer policy for e2e_get_evidence_bundle. 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.
e2e_get_evidence_bundle is provided by the Playwright Autopilot MCP server (kaizen-yutani/playwright-autopilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Playwright Autopilot, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
51 Playwright Autopilot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.