Find nearby Starbucks locations by address or zip code. Returns store names, addresses, hours, and supported features.
AI agents call get_nearby_stores to retrieve information from Mcp Starbucks without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a geospatial query to return publicly available store location data. It retrieves information without creating, modifying, deleting, or executing any operations. The data returned (store addresses, hours, features) is non-sensitive public information. Misuse would not result in unauthorized state changes or financial impact.
From the tool's definition Tool description states it 'Find[s] nearby Starbucks locations' and 'Returns store names, addresses, hours, and supported features' — purely retrieval operations with no modification or side effects.
Attacks that exploit this kind of access
Find nearby Starbucks locations by address or zip code. Returns store names, addresses, hours, and supported features. It is categorised as a Read tool in the Mcp Starbucks MCP Server, which means it retrieves data without modifying state.
Register the Mcp Starbucks MCP server in PolicyLayer and add a rule for get_nearby_stores: 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 Mcp Starbucks. Nothing to install.
get_nearby_stores 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_nearby_stores 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_nearby_stores. 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_nearby_stores is provided by the Mcp Starbucks MCP server (markswendsen-code/mcp-starbucks). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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