Low Risk

natural_language_search

natural_language_search

How to control natural_language_search ↓

What natural_language_search does on BnF API Server

AI agents call natural_language_search to retrieve information from BnF API Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why natural_language_search needs a policy

This tool retrieves or queries data from the Gallica digital library without modifying, deleting, or executing code. It produces no side effects beyond returning search results. It is analogous to the sibling search tools on the same server. The low severity reflects minimal blast radius if misused—an AI agent could only retrieve unwanted information, not harm the system or data.

From the tool's definition Tool name is 'natural_language_search' and sibling tools include 'advanced_search', 'search_by_author', 'search_by_date', 'search_by_document_type', 'search_by_subject', and 'search_by_title'.

Documented attack patterns abuse exactly the kind of access natural_language_search gives an agent:

How to control natural_language_search

PolicyLayer is an MCP gateway — it sits between your AI agents and BnF API Server, and nothing reaches the server without passing your rules. This is the rule we recommend for natural_language_search:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "natural_language_search": {}
  }
}

natural_language_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register BnF API Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about natural_language_search

What does the natural_language_search tool do? +

natural_language_search. It is categorised as a Read tool in the BnF API Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on natural_language_search? +

Register the BnF API Server MCP server in PolicyLayer and add a rule for natural_language_search: 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 BnF API Server. Nothing to install.

What risk level is natural_language_search? +

natural_language_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit natural_language_search? +

Yes. Add a rate_limit block to the natural_language_search 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.

How do I block natural_language_search completely? +

Set action: deny in the PolicyLayer policy for natural_language_search. 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.

What MCP server provides natural_language_search? +

natural_language_search is provided by the BnF API Server MCP server (kryzo/mcp-bibliotheque_nationale_de_france). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every BnF API Server tool call.

Start from BnF API 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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8 BnF API Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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