star_item
Star (favorite) a single news item.
This record as markdown: /tools/aiquila-nextcloud-mcp-server/star-item.md
What star_item does on AIquila — Nextcloud MCP Server
AI agents use star_item 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 star_item is rated Medium
Starring/favoriting an item is a reversible write operation that modifies metadata (favorite status) on a news item. It has no destructive or irreversible effects, and the blast radius of misuse is minimal.
From the tool's definition Star (favorite) a single news item
Attacks that exploit this kind of access
The rule that runs star_item 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 star_item, this is the rule to start with:
star_item 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 star_item call is checked against it from then on.
Questions about star_item
Star (favorite) a single news item. 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 star_item: 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.
star_item 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 star_item 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 star_item. 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.
star_item 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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