AI agents use restore_story 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 modifies content reversibly by restoring a story to a previous version. While it changes data, the operation is not destructive (the current version is preserved in version history) and can be undone by restoring to another version. This fits the Write category (creates or modifies data reversibly) rather than Destructive.
From the tool's definition Tool name 'restore_story' and description 'Restores a story to a specific version' indicate the tool reverts content to a prior state, modifying existing data.
Documented attack patterns abuse exactly the kind of access restore_story 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 restore_story:
{
"version": "1",
"default": "deny",
"tools": {
"restore_story": {
"limits": [
{
"counter": "restore_story_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}restore_story 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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Restores a story to a specific version. 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 restore_story: 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.
restore_story 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 restore_story 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 restore_story. 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.
restore_story 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.