AI agents call get_shop to retrieve information from Habitca without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool queries shop inventory data without modifying, deleting, or executing any actions. It is a pure read operation that returns information about available items. The presence of financial tools elsewhere on the server (buy_item, buy_reward) does not change the classification of this retrieval-only tool.
From the tool's definition Tool name is 'get_shop' and description states 'Get items in a shop (default: market)' — this is a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get items in a shop (default: market). It is categorised as a Read tool in the Habitca MCP Server, which means it retrieves data without modifying state.
Register the Habitca MCP server in PolicyLayer and add a rule for get_shop: 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 Habitca. Nothing to install.
get_shop 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 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. 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 is provided by the Habitca MCP server (leon-jarvis1/habitca_mcp). 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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