Mark a single notification as read by ID.
AI agents use mark_notification_read to create or update resources in Payoza MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Payoza MCP Server environment.
This tool creates a reversible modification to notification metadata (read status), characteristic of Write operations. It does not retrieve data (Read), execute arbitrary code (Execute), permanently remove data (Destructive), or move funds (Financial).
From the tool's definition Tool 'mark_notification_read' modifies the read status of a notification by ID, which is a state change in the backend system. The description explicitly states it 'marks' (modifies) a notification 'as read', indicating a write operation that updates data.
Attacks that exploit this kind of access
Mark a single notification as read by ID. It is categorised as a Write tool in the Payoza MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Payoza MCP Server MCP server in PolicyLayer and add a rule for mark_notification_read: 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 Payoza MCP Server. Nothing to install.
mark_notification_read 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 mark_notification_read 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 mark_notification_read. 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.
mark_notification_read is provided by the Payoza MCP Server MCP server (payoza/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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