高德地图 - 骑行路线规划
AI agents call bicycling_route_planning to retrieve information from Amap MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves bicycling navigation routes from Amap/Gaode Maps API. It is a read-only query that returns route information without creating, modifying, or deleting any data. Consistent with sibling tools like driving_route_planning and amap_route_subway which are all route query tools.
From the tool's definition 骑行路线规划 (bicycling route planning) — queries and returns a cycling route; no data modification or side effects
Attacks that exploit this kind of access
高德地图 - 骑行路线规划. It is categorised as a Read tool in the Amap MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amap MCP Server MCP server in PolicyLayer and add a rule for bicycling_route_planning: 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 Amap MCP Server. Nothing to install.
bicycling_route_planning 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 bicycling_route_planning 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 bicycling_route_planning. 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.
bicycling_route_planning is provided by the Amap MCP Server MCP server (qiao101660/gaode_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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