Compiled ranked digest of active lessons — primary read interface for context loading
AI agents call storybloq_lesson_digest to retrieve information from Storybloq without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and presents already-recorded lesson data in a ranked digest format. It has no side effects — it does not create, modify, delete, or execute operations. The purpose is to load context for AI assistants by reading from the structured .story/ directory. Misuse would only expose existing project context data, which is the intended behavior.
From the tool's definition Tool name explicitly states 'digest' and description says 'primary read interface for context loading'. The verb 'compiled ranked digest' describes retrieval and aggregation of existing data with no modification.
Documented attack patterns abuse exactly the kind of access storybloq_lesson_digest gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Storybloq, and nothing reaches the server without passing your rules. This is the rule we recommend for storybloq_lesson_digest:
{
"version": "1",
"default": "deny",
"tools": {
"storybloq_lesson_digest": {}
}
}storybloq_lesson_digest is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Compiled ranked digest of active lessons — primary read interface for context loading. It is categorised as a Read tool in the Storybloq MCP Server, which means it retrieves data without modifying state.
Register the Storybloq MCP server in PolicyLayer and add a rule for storybloq_lesson_digest: 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 Storybloq. Nothing to install.
storybloq_lesson_digest 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 storybloq_lesson_digest 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 storybloq_lesson_digest. 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.
storybloq_lesson_digest is provided by the Storybloq MCP server (storybloq/storybloq). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 54 Storybloq tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
54 Storybloq tools catalogued and risk-classified — across an index of 42,500+ MCP servers.