test_auth_flow
A other tool on the Looking Glass MCP server.
This record as markdown: /tools/io-github-sahib-sawhney-wh-looking-glass-mcp/test-auth-flow.md
What test_auth_flow does on Looking Glass
AI agents call test_auth_flow as a supporting operation in Looking Glass workflows.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | Yes | Login page URL |
waitForUrl | string | — | Wait for URL to match after login |
passwordValue | string | Yes | Password |
usernameValue | string | Yes | Username or email |
submitSelector | string | Yes | CSS selector for submit/login button |
waitForSelector | string | — | Wait for this element after login |
passwordSelector | string | Yes | CSS selector for password input |
usernameSelector | string | Yes | CSS selector for username/email input |
Parameters from the server's own tool schema.
Why test_auth_flow is rated Low
The description is empty, so the exact behavior cannot be determined. The name suggests testing an authentication flow, which could involve reading, writing, or executing actions. Given the context of an AI-native browser server with vault capabilities, this could interact with credentials.
From the tool's definition Tool name is 'test_auth_flow'; description is empty or uninformative.
Risk signalsAccepts URL/endpoint input (url)
Attacks that exploit this kind of access
The rule that runs test_auth_flow safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Looking Glass, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For test_auth_flow, this is the rule to start with:
test_auth_flow gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Looking Glass, apply this rule, and every test_auth_flow call is checked against it from then on.
Questions about test_auth_flow
test_auth_flow is a other tool on the Looking Glass MCP server. It is categorised as a Other tool in the Looking Glass MCP Server, which means it performs auxiliary operations.
test_auth_flow accepts 8 parameters: url, waitForUrl, passwordValue, usernameValue, submitSelector, waitForSelector, passwordSelector, usernameSelector. Required: url, passwordValue, usernameValue, submitSelector, passwordSelector, usernameSelector. The full parameter table on this page comes from the server's own tool schema.
Register the Looking Glass MCP server in PolicyLayer and add a rule for test_auth_flow: 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 Looking Glass. Nothing to install.
test_auth_flow is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the test_auth_flow 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 test_auth_flow. 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.
test_auth_flow is provided by the Looking Glass MCP server (looking-glass-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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