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find_products

Answer 'best <category> under $N' and 'which <category> has the most <spec>' directly: filter a category by maxPriceUsd and/or brand, then rank by a field — 'priceUsd' (default, cheapest first), 'releaseDate', or any of the category's spec keys (set descending:true for biggest-first, e.g. sortBy:...

SERVERThe Front Desk Review SOURCEhttps://mcp.frontdeskreview.com/mcp
Low RISK CLASS
Category Read
Parameters 51 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-frontdeskreview-front-desk-review-data/find-products.md

What find_products does on The Front Desk Review

AI agents call find_products to retrieve information from The Front Desk Review without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
brand string Only products from this brand.
sortBy string Field to rank by: 'priceUsd' (default), 'releaseDate', or a spec key from the category.
category string Yes Product category slug from list_product_categories.
descending boolean Rank largest/newest first (default false = smallest/cheapest first).
maxPriceUsd number Only products at or below this USD price.

Parameters from the server's own tool schema.

Why find_products is rated Low

find_products is a search and ranking tool that retrieves and queries product data without modifying, deleting, or executing any operations. It performs filtering and sorting on existing product records, which are classic Read category operations. The low severity reflects that misuse would at worst return incorrect product recommendations with no side effects.

From the tool's definition Tool description states it 'filter[s] a category' and 'rank[s]' products, 'Returns provenanced product records'. The verbs are retrieval-focused: filter, rank, return. No mutations, deletions, executions, or financial operations are mentioned.

Questions about find_products

What does the find_products tool do? +

Answer 'best <category> under $N' and 'which <category> has the most <spec>' directly: filter a category by maxPriceUsd and/or brand, then rank by a field — 'priceUsd' (default, cheapest first), 'releaseDate', or any of the category's spec keys (set descending:true for biggest-first, e.g. sortBy:'battery_mah' descending:true). Returns provenanced product records; products missing the sort value sort last. Never infers a spec it has not verified. It is categorised as a Read tool in the The Front Desk Review MCP Server, which means it retrieves data without modifying state.

What parameters does find_products accept? +

find_products accepts 5 parameters: brand, sortBy, category, descending, maxPriceUsd. Required: category. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on find_products? +

Register the The Front Desk Review MCP server in PolicyLayer and add a rule for find_products: 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 The Front Desk Review. Nothing to install.

What risk level is find_products? +

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

Can I rate-limit find_products? +

Yes. Add a rate_limit block to the find_products 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 find_products completely? +

Set action: deny in the PolicyLayer policy for find_products. 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 find_products? +

find_products is provided by the The Front Desk Review MCP server (https://mcp.frontdeskreview.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on The Front Desk Review, and thousands of servers like it.

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