Debug access to a specific story via various fetch parameters.
AI agents call debug_story_access 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.
This tool retrieves or queries data about story access through fetch parameters. The verb 'debug' combined with 'access to a specific story' and 'fetch parameters' indicates a read-only diagnostic operation. There are no side effects, data modifications, deletions, or external operations triggered.
From the tool's definition Tool name 'debug_story_access' and description 'Debug access to a specific story via various fetch parameters' indicate a diagnostic/query operation that retrieves information about story access without modifying, deleting, or executing operations.
Documented attack patterns abuse exactly the kind of access debug_story_access 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 debug_story_access:
{
"version": "1",
"default": "deny",
"tools": {
"debug_story_access": {}
}
} debug_story_access is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Debug access to a specific story via various fetch parameters. 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 debug_story_access: 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.
debug_story_access 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 debug_story_access 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 debug_story_access. 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.
debug_story_access 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.