Adds a story to an existing release
AI agents use add-story-to-release to create or update resources in MCP Storyblok Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Storyblok Server environment.
The tool creates or modifies a relationship between existing resources (story and release) without deleting data. This is a write operation that changes state reversibly. It poses medium severity risk: an agent could associate wrong stories with releases, disrupting deployment workflows, but the action can be undone.
From the tool's definition Tool description states it 'Adds a story to an existing release' — a creation/modification operation that links a story resource to a release, reversible by removing the story from the release.
Attacks that exploit this kind of access
Adds a story to an existing release. It is categorised as a Write tool in the MCP Storyblok Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Storyblok Server MCP server in PolicyLayer and add a rule for add-story-to-release: 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 MCP Storyblok Server. Nothing to install.
add-story-to-release 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 add-story-to-release 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 add-story-to-release. 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.
add-story-to-release is provided by the MCP Storyblok Server MCP server (zerdos/mcp-storyblok-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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