Replace, append to, or prepend to a page\
AI agents use update_page to create or update resources in Collectives — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Collectives environment.
update_page modifies page content in reversible ways. While replacing content could be significant, Nextcloud Collectives explicitly exposes page history, meaning changes can be undone or reviewed. This qualifies as Write rather than Destructive.
From the tool's definition Tool description states "Replace, append to, or prepend to a page" — these are reversible modifications to page content.
Attacks that exploit this kind of access
Replace, append to, or prepend to a page\. It is categorised as a Write tool in the Collectives MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Collectives MCP server in PolicyLayer and add a rule for update_page: 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 Collectives. Nothing to install.
update_page 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 update_page 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 update_page. 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.
update_page is provided by the Collectives MCP server (megamaced/nc_collectives-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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