fetch_stories
A read tool on the Storyblok MCP server.
This record as markdown: /tools/arjuncodess-storyblok-mcp/fetch-stories.md
What fetch_stories does on Storyblok MCP Server
AI agents call fetch_stories to retrieve information from Storyblok MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why fetch_stories is rated Low
Despite the empty description, the tool name and server context clearly indicate this retrieves story content from the CMS without modifying, deleting, or executing operations. Fetching content is a fundamental read operation. Confidence is high because the naming convention is explicit, though 0.05 is deducted for the lack of a descriptive field.
From the tool's definition Tool name 'fetch_stories' combined with server context of Storyblok CMS (a content management platform) indicates a retrieval operation. The verb 'fetch' unambiguously signals a data read operation with no side effects.
Attacks that exploit this kind of access
The rule that runs fetch_stories safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Storyblok MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fetch_stories, this is the rule to start with:
fetch_stories is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Storyblok MCP Server, apply this rule, and every fetch_stories call is checked against it from then on.
Questions about fetch_stories
fetch_stories is a read tool on the Storyblok MCP Server MCP server. 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_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.
fetch_stories 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_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 fetch_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.
fetch_stories 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.
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