Search Walmart and return product listings as JSON. Each result includes title, product ID, price, rating, and image URL. Use when the user wants to find products on Walmart or compare prices with Amazon.
AI agents call search_walmart to retrieve information from Scavio without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries publicly available product information from Walmart without modifying any data, triggering external operations, or moving money. It is purely informational retrieval, fitting the Read category. Severity is low because misuse would only expose publicly available product data with minimal blast radius.
From the tool's definition Tool description states 'Search Walmart and return product listings as JSON' with results including 'title, product ID, price, rating, and image URL'. The verb 'Search' and 'return' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Search Walmart and return product listings as JSON. Each result includes title, product ID, price, rating, and image URL. Use when the user wants to find products on Walmart or compare prices with Amazon. It is categorised as a Read tool in the Scavio MCP Server, which means it retrieves data without modifying state.
Register the Scavio MCP server in PolicyLayer and add a rule for search_walmart: 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 Scavio. Nothing to install.
search_walmart 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 search_walmart 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 search_walmart. 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.
search_walmart is provided by the Scavio MCP server (@scavio/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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