get_email
Full email message by id (from list_mail).
This record as markdown: /tools/ai-featureboard-featureboard/get-email.md
What get_email does on FeatureBoard
AI agents call get_email to retrieve information from FeatureBoard without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_email is rated Low
This tool retrieves and returns email data by identifier—a read-only operation with no side effects. It does not create, modify, delete, or execute actions. The reference to 'from list_mail' confirms it operates within a structured query pattern typical of data retrieval.
From the tool's definition Tool name is 'get_email' and description states it retrieves 'Full email message by id (from list_mail)', indicating a query/retrieval operation with no modification.
Attacks that exploit this kind of access
The rule that runs get_email safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FeatureBoard, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_email, this is the rule to start with:
get_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 FeatureBoard, apply this rule, and every get_email call is checked against it from then on.
Questions about get_email
Full email message by id (from list_mail). It is categorised as a Read tool in the FeatureBoard MCP Server, which means it retrieves data without modifying state.
Register the FeatureBoard MCP server in PolicyLayer and add a rule for get_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 FeatureBoard. Nothing to install.
get_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 get_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 get_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.
get_email is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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