mark_feed_read

Mark all items in a feed as read up to (and including) the given newest item ID.

SERVERAIquila — Nextcloud MCP Server SOURCEelgorro/aiquila

Medium RISK CLASS

Category Write

Parameters 00 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-feed-read.md

WHAT IT DOES

What mark_feed_read does on AIquila — Nextcloud MCP Server

AI agents use mark_feed_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.

RISK

Why mark_feed_read is rated Medium

The tool modifies the read status of feed items, which is a reversible state change (items can be marked unread again). This is a Write operation rather than Read (it changes state) or Destructive (the change is reversible). The blast radius is minimal since it only affects the user's view state of feed items, with no data loss or external side effects. Severity is low due to limited impact scope.

From the tool's definition Tool name 'mark_feed_read' and description 'Mark all items in a feed as read up to (and including) the given newest item ID' indicates modification of feed state/metadata.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs mark_feed_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_feed_read, this is the rule to start with:

mark_feed_read Rate-limited

mark_feed_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_feed_read": {
      "limits": [
        {
          "counter": "mark_feed_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_feed_read call is checked against it from then on.

FAQ

Questions about mark_feed_read

What does the mark_feed_read tool do? +

Mark all items in a feed as read up to (and including) the given newest item ID. 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.

How do I enforce a policy on mark_feed_read? +

Register the AIquila — Nextcloud MCP Server MCP server in PolicyLayer and add a rule for mark_feed_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_feed_read? +

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

Can I rate-limit mark_feed_read? +

Yes. Add a rate_limit block to the mark_feed_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_feed_read completely? +

Set action: deny in the PolicyLayer policy for mark_feed_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_feed_read? +

mark_feed_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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