获取地球上位置的海拔数据
AI agents call maps_elevation to retrieve information from Google Maps MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries elevation information for geographical coordinates without side effects. It falls clearly under Read category—a simple data retrieval operation with minimal security risk. Misuse could enable location reconnaissance, but exposure is limited to public elevation data.
From the tool's definition Tool retrieves elevation data ('获取地球上位置的海拔数据' translates to 'get elevation data for locations on Earth'). No modifications, deletions, or external operations triggered.
Attacks that exploit this kind of access
获取地球上位置的海拔数据. It is categorised as a Read tool in the Google Maps MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Google Maps MCP Server MCP server in PolicyLayer and add a rule for maps_elevation: 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 Google Maps MCP Server. Nothing to install.
maps_elevation 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 maps_elevation 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 maps_elevation. 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.
maps_elevation is provided by the Google Maps MCP Server MCP server (lesonky/google-maps-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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