get_product_details

get_product_details

Server Teachermall reallygood83/teachermall-mcp
Category Read
Risk class Low
Parameters 00 required

What get_product_details does on Teachermall

AI agents call get_product_details to retrieve information from Teachermall without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_product_details needs a policy

The tool fetches product details—a read-only query operation with no side effects. Even with an empty description, the naming convention and server context (Teachermall product catalog browsing) clearly indicate retrieval semantics. No financial transactions, code execution, or destructive operations are involved. Confidence is reduced from 0.95 to 0.85 due to the missing description.

From the tool's definition Tool name 'get_product_details' and server purpose (product search and recommendations) indicate data retrieval.

Questions about get_product_details

What does the get_product_details tool do? +

get_product_details. It is categorised as a Read tool in the Teachermall MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_product_details? +

Register the Teachermall 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 Teachermall. Nothing to install.

What risk level is get_product_details? +

get_product_details is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_product_details? +

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.

How do I block get_product_details completely? +

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.

What MCP server provides get_product_details? +

get_product_details is provided by the Teachermall MCP server (reallygood83/teachermall-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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