Schedule an existing email draft to be sent at a specific time. This tool requires explicit user confirmation before proceeding as it will modify the draft
AI agents use schedule_draft to create or update resources in Buttondown MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Buttondown MCP Server environment.
This tool modifies data (draft status/scheduling) in a reversible manner, placing it in the Write category. Severity is high because scheduling email sends can impact many recipients and affect business communications; misuse could send unwanted bulk communications. The explicit user confirmation requirement partially mitigates risk, supporting the high (rather than critical) severity rating.
From the tool's definition "Schedule an existing email draft to be sent at a specific time. This tool requires explicit user confirmation before proceeding as it will modify the draft" - the tool modifies draft state by scheduling it for sending.
Attacks that exploit this kind of access
Schedule an existing email draft to be sent at a specific time. This tool requires explicit user confirmation before proceeding as it will modify the draft. It is categorised as a Write tool in the Buttondown MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Buttondown MCP Server MCP server in PolicyLayer and add a rule for schedule_draft: 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 Buttondown MCP Server. Nothing to install.
schedule_draft 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 schedule_draft 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 schedule_draft. 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.
schedule_draft is provided by the Buttondown MCP Server MCP server (the-focus-ai/buttondown-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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