Get detailed information about a specific product, including specs and stock.
AI agents call get_product_details to retrieve information from Perkakasku without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | string | Yes | Product code (e.g., 'PX471') |
Parameters from the server's own tool schema.
This tool retrieves product information (specifications and stock status) without modifying data, executing code, or triggering side effects. It is a standard read operation typical of e-commerce platforms. The low severity reflects minimal blast radius if misused — an agent retrieving product details causes no harm.
From the tool's definition Tool description states 'Get detailed information about a specific product, including specs and stock' — a pure retrieval operation with no mutation or execution of external systems.
Attacks that exploit this kind of access
Get detailed information about a specific product, including specs and stock. It is categorised as a Read tool in the Perkakasku MCP Server, which means it retrieves data without modifying state.
get_product_details accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the Perkakasku MCP server in PolicyLayer and add a rule for get_product_details: 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 Perkakasku. Nothing to install.
get_product_details 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 get_product_details 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 get_product_details. 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.
get_product_details is provided by the Perkakasku MCP server (perkakasku-mcp-server). 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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