AI agents call basketeer_favourites to retrieve information from Basketeer without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves customer favourite items or customer data without modifying, executing external operations, or causing destructive changes. The description explicitly uses 'List', which is a read operation. Even though it accesses personal account data, the lack of modification capabilities and the informational nature of the operation classify it as Read severity.
From the tool's definition Tool name 'basketeer_favourites' and description 'List the signed-in customer' indicate a query/retrieval operation with no side effects.
Attacks that exploit this kind of access
List the signed-in customer. It is categorised as a Read tool in the Basketeer MCP Server, which means it retrieves data without modifying state.
Register the Basketeer MCP server in PolicyLayer and add a rule for basketeer_favourites: 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 Basketeer. Nothing to install.
basketeer_favourites 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 basketeer_favourites 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 basketeer_favourites. 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.
basketeer_favourites is provided by the Basketeer MCP server (tobyandrews1985/basketeer). 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.
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