get_shop_product
AI agents call get_shop_product to retrieve information from Aareguru MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the empty description, the naming convention 'get_*' and context of checkout tools suggest this retrieves product data without side effects. Classified as Read (low severity) due to lack of evidence for modification, deletion, or execution. Confidence reduced to 0.6 due to uninformative description and slight incongruity with the stated server purpose (Swiss river swimming data).
From the tool's definition Tool name 'get_shop_product' suggests retrieval of product information. Description is empty, limiting certainty.
Attacks that exploit this kind of access
get_shop_product. It is categorised as a Read tool in the Aareguru MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Aareguru MCP Server MCP server in PolicyLayer and add a rule for get_shop_product: 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 Aareguru MCP Server. Nothing to install.
get_shop_product 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_shop_product 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_shop_product. 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_shop_product is provided by the Aareguru MCP Server MCP server (schlpbch/aareguru-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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