DEEP CONTEXT — RAG search against book sections. Embeds a natural language
AI agents call ask_book to retrieve information from Iconsult MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information from a knowledge base of book sections using retrieval-augmented generation (RAG) and embeddings. It queries existing literature data without creating, modifying, deleting, or executing external operations.
From the tool's definition Tool name is 'ask_book' and description indicates 'RAG search against book sections' with embedding functionality. The verb 'search' and the read-only nature of querying against stored knowledge/book content indicates data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access ask_book gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Iconsult MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for ask_book:
{
"version": "1",
"default": "deny",
"tools": {
"ask_book": {}
}
} ask_book is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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DEEP CONTEXT — RAG search against book sections. Embeds a natural language. It is categorised as a Read tool in the Iconsult MCP MCP Server, which means it retrieves data without modifying state.
Register the Iconsult MCP server in PolicyLayer and add a rule for ask_book: 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 Iconsult MCP. Nothing to install.
ask_book 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 ask_book 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 ask_book. 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.
ask_book is provided by the Iconsult MCP server (marcus-waldman/iconsult_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Iconsult MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
29 Iconsult MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.