AI agents call fetch_presets to retrieve information from Storyblok MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The verb 'fetch' and noun 'presets' together indicate this tool retrieves or queries preset configurations from the Storyblok CMS. No side effects, modifications, deletions, or external operations are implied. While the description is empty (lowering confidence slightly), the semantic meaning of 'fetch' as a read operation is sufficiently clear.
From the tool's definition Tool name 'fetch_presets' indicates retrieval of preset configuration data. The name uses 'fetch' which is a standard verb for read-only operations that retrieve existing data without modification.
Documented attack patterns abuse exactly the kind of access fetch_presets 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 fetch_presets:
{
"version": "1",
"default": "deny",
"tools": {
"fetch_presets": {}
}
}fetch_presets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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fetch_presets. It is categorised as a Read tool in the Storyblok MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Storyblok MCP Server MCP server in PolicyLayer and add a rule for fetch_presets: 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.
fetch_presets is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the fetch_presets 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 fetch_presets. 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.
fetch_presets is provided by the Storyblok MCP Server MCP server (arjuncodess/storyblok-mcp). 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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115 Storyblok MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.