Get comprehensive product information including specifications, expert reviews, customer feedback, and buy suggestions. Use this when you need detailed information about a specific product.
AI agents call get_product_details to retrieve information from Digikala MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a pure data retrieval operation on product details from Digikala's catalog. It has no side effects, cannot create, modify, or delete data, and poses minimal security risk even if invoked inappropriately by an AI agent. The worst-case scenario is retrieving unintended product information, which is non-harmful.
From the tool's definition Tool retrieves 'comprehensive product information including specifications, expert reviews, customer feedback' with no modification or deletion capability. The verb 'Get' and the passive nature of fetching existing product data confirms read-only operation.
Attacks that exploit this kind of access
Get comprehensive product information including specifications, expert reviews, customer feedback, and buy suggestions. Use this when you need detailed information about a specific product. It is categorised as a Read tool in the Digikala MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Digikala MCP Server 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 Digikala MCP Server. 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 Digikala MCP Server MCP server (rezashahnazar/digikala-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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