mark_items_read
Mark multiple news items as read in one call.
This record as markdown: /tools/aiquila-nextcloud-mcp-server/mark-items-read.md
What mark_items_read does on AIquila — Nextcloud MCP Server
AI agents use mark_items_read to create or update resources in AIquila — Nextcloud MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AIquila — Nextcloud MCP Server environment.
Why mark_items_read is rated Medium
The tool changes the state of news items from unread to read. This is a Write operation because it modifies data (the read status) reversibly—the action can be undone by marking items unread again. It has no destructive, financial, or code execution aspects. The blast radius is low since marking items read is a common, non-critical operation with minimal side effects.
From the tool's definition The tool description states it 'Mark multiple news items as read in one call.' This modifies the read status of news items, which is a reversible state change to data in the Nextcloud system.
Attacks that exploit this kind of access
The rule that runs mark_items_read safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AIquila — Nextcloud MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mark_items_read, this is the rule to start with:
mark_items_read stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AIquila — Nextcloud MCP Server, apply this rule, and every mark_items_read call is checked against it from then on.
Questions about mark_items_read
Mark multiple news items as read in one call. It is categorised as a Write tool in the AIquila — Nextcloud MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AIquila — Nextcloud MCP Server MCP server in PolicyLayer and add a rule for mark_items_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 AIquila — Nextcloud MCP Server. Nothing to install.
mark_items_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_items_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_items_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_items_read is provided by the AIquila — Nextcloud MCP Server MCP server (elgorro/aiquila). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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