AI agents use update_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 creates or modifies data reversibly. It updates story content in Storyblok without permanently deleting it, and changes can be undone by subsequent updates or version rollback. While it modifies content, the effect is reversible and does not commit financial obligations or execute arbitrary code.
From the tool's definition Tool name is 'update_story' and description states it 'Updates an existing Storyblok story by ID.' This modifies existing data within Storyblok (a CMS).
Documented attack patterns abuse exactly the kind of access update_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 update_story:
{
"version": "1",
"default": "deny",
"tools": {
"update_story": {
"limits": [
{
"counter": "update_story_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_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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Updates an existing Storyblok story 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 update_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.
update_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 update_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 update_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.
update_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.