List lessons with optional status/tag/source filters
AI agents call storybloq_lesson_list 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 lists lesson records from the .story/ directory context management system. The 'list' action with optional filtering parameters is a pure read operation that queries existing data without creating, modifying, deleting, or executing any actions.
From the tool's definition Tool name 'storybloq_lesson_list' and description 'List lessons with optional status/tag/source filters' indicate a query/retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access storybloq_lesson_list 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_list:
{
"version": "1",
"default": "deny",
"tools": {
"storybloq_lesson_list": {}
}
}storybloq_lesson_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List lessons with optional status/tag/source filters. 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_list: 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_list 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_list 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_list. 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_list 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.
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54 Storybloq tools catalogued and risk-classified — across an index of 42,500+ MCP servers.