search_products
Search live FastDrop products by name/tagline text and/or curated tag. Optionally filter to x402-payable services (listed in the Bazaar catalog). Results ranked by votes and include verification status (mcpVerified) and freshness where available.
This record as markdown: /tools/dev-fastdrop-fastdrop/search-products.md
What search_products does on Fastdrop
AI agents call search_products to retrieve information from Fastdrop without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
tag | string | — | Curated tag slug |
x402 | boolean | — | If true, only return products marked x402-payable via Bazaar enrichment |
limit | number | — | Max results, 1-50, default 20 |
query | string | — | Text matched against name and tagline |
Parameters from the server's own tool schema.
Why search_products is rated Low
Even though search_products only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs search_products safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Fastdrop, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_products, this is the rule to start with:
search_products is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Fastdrop, apply this rule, and every search_products call is checked against it from then on.
Questions about search_products
Search live FastDrop products by name/tagline text and/or curated tag. Optionally filter to x402-payable services (listed in the Bazaar catalog). Results ranked by votes and include verification status (mcpVerified) and freshness where available. It is categorised as a Read tool in the Fastdrop MCP Server, which means it retrieves data without modifying state.
search_products accepts 4 parameters: tag, x402, limit, query. The full parameter table on this page comes from the server's own tool schema.
Register the Fastdrop MCP server in PolicyLayer and add a rule for search_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 Fastdrop. Nothing to install.
search_products 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 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. 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 is provided by the Fastdrop MCP server (https://fastdrop.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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