拿取次要景點，人氣數小於 3000 數。每個主要景點間最少 0 個次要景點，最多 2 個次要景點。
AI agents call sub_views to retrieve information from Gogo Backend without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns curated travel spot data from the PostgreSQL database without creating, modifying, or deleting records. It is a straightforward Read operation with no side effects. Low severity because it only accesses pre-existing travel information with no impact beyond information disclosure.
From the tool's definition Tool retrieves secondary attractions (景點) filtered by popularity criteria (<3000), with pagination constraints (0-2 per major spot). The description contains no verbs indicating modification, deletion, or execution—purely data retrieval.
Attacks that exploit this kind of access
拿取次要景點，人氣數小於 3000 數。每個主要景點間最少 0 個次要景點，最多 2 個次要景點。. It is categorised as a Read tool in the Gogo Backend MCP Server, which means it retrieves data without modifying state.
Register the Gogo Backend MCP server in PolicyLayer and add a rule for sub_views: 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 Gogo Backend. Nothing to install.
sub_views 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 sub_views 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 sub_views. 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.
sub_views is provided by the Gogo Backend MCP server (jjjtyy666/gogo-backend-mcp6). 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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