AI agents call search_emails to retrieve information from Eml without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries email data based on filters without creating, modifying, deleting, or executing code. It is a straightforward read operation with minimal risk if misused by an AI agent—worst case being unwanted email queries or information disclosure of already-accessible emails.
From the tool's definition Tool name 'search_emails' and description 'Search emails by keyword, sender, date, and other filters' indicate a query/search operation with no modification or deletion capability.
Attacks that exploit this kind of access
Search emails by keyword, sender, date, and other filters. It is categorised as a Read tool in the Eml MCP Server, which means it retrieves data without modifying state.
Register the Eml MCP server in PolicyLayer and add a rule for search_emails: 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 Eml. Nothing to install.
search_emails 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 search_emails 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 search_emails. 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.
search_emails is provided by the Eml MCP server (miguelripoll23/eml-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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