request_login_code
Start sign-in: email a one-time code to the user. Follow with verify_login_code.
This record as markdown: /tools/ai-dataecho-mcp/request-login-code.md
What request_login_code does on Mcp
AI agents use request_login_code to create or update resources in Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
email | string | Yes | The user's email address |
Parameters from the server's own tool schema.
Why request_login_code is rated Medium
An AI agent can call request_login_code faster than any human can review: one bad instruction and it creates or modifies resources in Mcp by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs request_login_code safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For request_login_code, this is the rule to start with:
request_login_code 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every request_login_code call is checked against it from then on.
Questions about request_login_code
Start sign-in: email a one-time code to the user. Follow with verify_login_code. 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.
request_login_code accepts 1 parameter: email. Required: email. The full parameter table on this page comes from the server's own tool schema.
Register the MCP server in PolicyLayer and add a rule for request_login_code: 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.
request_login_code is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the request_login_code 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 request_login_code. 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.
request_login_code is provided by the MCP server (https://dataecho.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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