Get similar products and related category recommendations. Use this when a product is close but not exactly what you need, to explore similar alternatives.
AI agents call get_product_recommendations 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 retrieves and presents product recommendations—a read-only operation with no side effects. It does not create, modify, delete, or execute external operations. The blast radius is minimal as misuse would only result in browsing suggestions being returned to the user.
From the tool's definition Tool name 'get_product_recommendations' and description 'Get similar products and related category recommendations' indicate retrieval of product suggestions without modifying, deleting, or executing operations.
Attacks that exploit this kind of access
Get similar products and related category recommendations. Use this when a product is close but not exactly what you need, to explore similar alternatives. 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_recommendations: 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_recommendations 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_recommendations 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_recommendations. 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_recommendations 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.
Teams ship this data inside their own products. See what a licence covers →