AI agents use update_page to create or update resources in Confluence — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Confluence environment.
An AI agent can call update_page faster than any human can review — one bad instruction and it creates or modifies resources in Confluence by the hundred, each call as confident as the last.
Documented attack patterns abuse exactly the kind of access update_page gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Confluence, and nothing reaches the server without passing your rules. This is the rule we recommend for update_page:
{
"version": "1",
"default": "deny",
"tools": {
"update_page": {
"limits": [
{
"counter": "update_page_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_page 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.
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Update an existing Confluence page. It is categorised as a Write tool in the Confluence MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Confluence 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 Confluence. 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 Confluence MCP server (zereight/confluence-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 13 Confluence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
13 Confluence tools catalogued and risk-classified — across an index of 42,500+ MCP servers.