mark_item_read

Mark a single news item as read.

SERVERAIquila — Nextcloud MCP Server SOURCEelgorro/aiquila

Medium RISK CLASS

Category Write

Parameters 11 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aiquila-nextcloud-mcp-server/mark-item-read.md

WHAT IT DOES

What mark_item_read does on AIquila — Nextcloud MCP Server

AI agents use mark_item_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.

Parameter	Type	Required	Description
`itemId`	number	Yes	The item ID

Parameters from the server's own tool schema.

RISK

Why mark_item_read is rated Medium

This tool modifies the read status of a news item, which is a reversible state change (the item can be marked unread again). It does not delete, execute code, trigger external operations, or move money. It fits the Write category as it creates or modifies data reversibly.

From the tool's definition Tool name 'mark_item_read' and description 'Mark a single news item as read' indicate a state modification operation on a news/feed item.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs mark_item_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_item_read, this is the rule to start with:

mark_item_read Rate-limited

mark_item_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "mark_item_read": {
      "limits": [
        {
          "counter": "mark_item_read_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AIquila — Nextcloud MCP Server, apply this rule, and every mark_item_read call is checked against it from then on.

FAQ

Questions about mark_item_read

What does the mark_item_read tool do? +

Mark a single news item as read. 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.

What parameters does mark_item_read accept? +

mark_item_read accepts 1 parameter: itemId. Required: itemId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on mark_item_read? +

Register the AIquila — Nextcloud MCP Server MCP server in PolicyLayer and add a rule for mark_item_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.

What risk level is mark_item_read? +

mark_item_read is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit mark_item_read? +

Yes. Add a rate_limit block to the mark_item_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.

How do I block mark_item_read completely? +

Set action: deny in the PolicyLayer policy for mark_item_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.

What MCP server provides mark_item_read? +

mark_item_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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