fakestore_products
List fake e-commerce products (for testing and prototyping).
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/fakestore-products.md
What fakestore_products does on UnClick
AI agents call fakestore_products to retrieve information from UnClick 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 |
|---|---|---|---|
limit | number | — | Max products (default 10). |
Parameters from the server's own tool schema.
Why fakestore_products is rated Low
This tool queries and returns mock/test data from a fake e-commerce store. It performs no modifications, deletions, executions, or financial transactions. Even if an AI agent misuses it by retrieving all products repeatedly, the blast radius is minimal—it only wastes API calls on read operations against test data. Categorized as Read with low severity.
From the tool's definition Tool description states 'List fake e-commerce products' — a retrieval operation with no side effects. The verb 'list' and qualifier 'fake' (indicating test data) confirm read-only functionality.
Attacks that exploit this kind of access
The rule that runs fakestore_products safely
PolicyLayer is an MCP gateway: it sits between your AI agents and UnClick, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fakestore_products, this is the rule to start with:
fakestore_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 UnClick, apply this rule, and every fakestore_products call is checked against it from then on.
Questions about fakestore_products
List fake e-commerce products (for testing and prototyping). It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
fakestore_products accepts 1 parameter: limit. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for fakestore_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 UnClick. Nothing to install.
fakestore_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 fakestore_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 fakestore_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.
fakestore_products is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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