wait_for_email
A read tool on the Pypi:deadsimple Email MCP server.
This record as markdown: /tools/deadsimple-email/wait-for-email.md
What wait_for_email does on Pypi:deadsimple Email
AI agents call wait_for_email to retrieve information from Pypi:deadsimple Email without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why wait_for_email is rated Low
Based on the tool name and the server's purpose (pulling signup codes from inbound mail), this tool likely polls or waits for an incoming email to arrive before returning its content — a read/fetch operation. Severity is medium because it accesses potentially sensitive email content (verification codes, private messages). Confidence is lowered due to the empty description.
From the tool's definition Tool name 'wait_for_email' and server context of reading inbound mail; description is empty and uninformative
Attacks that exploit this kind of access
The rule that runs wait_for_email safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:deadsimple Email, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wait_for_email, this is the rule to start with:
wait_for_email is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:deadsimple Email, apply this rule, and every wait_for_email call is checked against it from then on.
Questions about wait_for_email
wait_for_email is a read tool on the Pypi:deadsimple Email MCP server. It is categorised as a Read tool in the Pypi:deadsimple Email MCP Server, which means it retrieves data without modifying state.
Register the Pypi:deadsimple Email MCP server in PolicyLayer and add a rule for wait_for_email: 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 Pypi:deadsimple Email. Nothing to install.
wait_for_email 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 wait_for_email 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 wait_for_email. 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.
wait_for_email is provided by the Pypi:deadsimple Email MCP server (pypi:deadsimple-email). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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