update_content_control
AI agents use update_content_control to create or update resources in Docx — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Docx environment.
This tool modifies document elements (content controls) but does not delete data or trigger financial transactions. Content control updates in Word documents are reversible via undo/version history, placing it in the Write category. Severity is medium because misconfiguration could corrupt document structure or lock fields, but effects are generally recoverable.
From the tool's definition Tool name 'update_content_control' indicates modification of document content controls. Server description states it enables 'editing...Microsoft Word documents' and 'precise OOXML-level document manipulation.' Content control updates are reversible…
Documented attack patterns abuse exactly the kind of access update_content_control gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Docx, and nothing reaches the server without passing your rules. This is the rule we recommend for update_content_control:
{
"version": "1",
"default": "deny",
"tools": {
"update_content_control": {
"limits": [
{
"counter": "update_content_control_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_content_control 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.
Free to start. No card required.
update_content_control. It is categorised as a Write tool in the Docx MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Docx MCP server in PolicyLayer and add a rule for update_content_control: 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 Docx. Nothing to install.
update_content_control 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_content_control 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_content_control. 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_content_control is provided by the Docx MCP server (securityronin/docx-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Docx, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
219 Docx tools catalogued and risk-classified — across an index of 43,000+ MCP servers.