AI agents use update-block to create or update resources in Notion MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Notion MCP Server environment.
This tool modifies existing data reversibly—it updates Notion blocks rather than deleting them permanently. The action is a write operation with potential side effects (modifying content), but changes can be undone through Notion's version history or by updating again. Given the Notion workspace context, an AI agent could inadvertently modify important content, creating medium severity risk.
From the tool's definition Tool name 'update-block' and description 'Update a block' directly indicate modification of existing data within Notion blocks.
Documented attack patterns abuse exactly the kind of access update-block gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Notion MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update-block:
{
"version": "1",
"default": "deny",
"tools": {
"update-block": {
"limits": [
{
"counter": "update-block_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update-block 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 a block. It is categorised as a Write tool in the Notion MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Notion MCP Server MCP server in PolicyLayer and add a rule for update-block: 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 Notion MCP Server. Nothing to install.
update-block 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-block 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-block. 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-block is provided by the Notion MCP Server MCP server (sjotie/notionmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Notion MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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12 Notion MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.