Search Open Food Facts with structured filters. Best for simple keyword queries and brand/category filtering. Returns exact result counts and well-populated products. If you have a barcode, use get_product instead. How search works: strict AND against a keyword index built from product_name, gene...
AI agents call search_products_standard to retrieve information from Open Food Facts without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries data from the Open Food Facts database without creating, modifying, deleting, or executing any operations. It performs a search operation against indexed product information, which is a typical Read category function. The structured filtering and return of results confirm this is a safe retrieval operation with no side effects or blast radius if misused by an AI agent.
From the tool's definition Tool description states it 'Search[es] Open Food Facts with structured filters' and 'Returns exact result counts and well-populated products.' The name 'search_products_standard' and all functional descriptions indicate query/retrieval only with no data…
Attacks that exploit this kind of access
Search Open Food Facts with structured filters. Best for simple keyword queries and brand/category filtering. Returns exact result counts and well-populated products. If you have a barcode, use get_product instead. How search works: strict AND against a keyword index built from product_name, generic_name, brands, categories, origins, labels. One unmatched query word → zero results. Tips: - Prefer 2-3 distinctive words over the full product name - Put brand names in brands_tags, not the query text - Brand normalization is generous:. It is categorised as a Read tool in the Open Food Facts MCP Server, which means it retrieves data without modifying state.
Register the Open Food Facts MCP server in PolicyLayer and add a rule for search_products_standard: 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 Open Food Facts. Nothing to install.
search_products_standard 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 search_products_standard 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 search_products_standard. 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.
search_products_standard is provided by the Open Food Facts MCP server (openfoodfacts-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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