AI agents call get_land to retrieve information from Axie 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 game data (land plot information) without side effects. It matches the Read category definition: 'retrieves or queries data; no side effects (search, list, get, fetch).' The low severity reflects minimal blast radius if misused by an AI agent—at worst, it exposes publicly available game data that players can already access through normal gameplay or the marketplace.
From the tool's definition Tool name 'get_land' and description 'Get details for a specific land plot by its grid coordinates' indicate a retrieval operation.
Attacks that exploit this kind of access
Get details for a specific land plot by its grid coordinates. It is categorised as a Read tool in the Axie MCP Server, which means it retrieves data without modifying state.
Register the Axie MCP server in PolicyLayer and add a rule for get_land: 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 Axie. Nothing to install.
get_land 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_land 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_land. 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_land is provided by the Axie MCP server (jackdlogan/axie-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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