AI agents use bulk_publish_stories to create or update resources in Storyblok MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Storyblok MCP Server environment.
This tool creates or modifies data reversibly by changing the publication state of stories. While publishing is a significant action that makes content publicly available, it is reversible (stories can be unpublished), so it falls under Write rather than Destructive or Execute.
From the tool's definition The tool is named 'bulk_publish_stories' and described as 'Publishes multiple stories by ID.' Publishing is a write operation that makes content live/public, modifying the state of multiple stories at once.
Documented attack patterns abuse exactly the kind of access bulk_publish_stories gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Storyblok MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for bulk_publish_stories:
{
"version": "1",
"default": "deny",
"tools": {
"bulk_publish_stories": {
"limits": [
{
"counter": "bulk_publish_stories_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}bulk_publish_stories 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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Publishes multiple stories by ID. It is categorised as a Write tool in the Storyblok MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Storyblok MCP Server MCP server in PolicyLayer and add a rule for bulk_publish_stories: 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 Storyblok MCP Server. Nothing to install.
bulk_publish_stories 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 bulk_publish_stories 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 bulk_publish_stories. 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.
bulk_publish_stories is provided by the Storyblok MCP Server MCP server (kiran1689/storyblok-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Storyblok 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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159 Storyblok MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.