AI agents call select_collection to retrieve information from QueryNest without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool discovers and lists collections within a MongoDB database, presenting options to the user. This is a read/discovery operation with no data modification. The requirement for user confirmation before execution further suggests it is non-destructive.
From the tool's definition '自动发现集合并提供推荐选项' (automatically discover collections and provide recommended options); requires user confirmation before execution
Attacks that exploit this kind of access
智能集合选择工具：自动发现集合并提供推荐选项，需要用户确认后执行. It is categorised as a Read tool in the QueryNest MCP Server, which means it retrieves data without modifying state.
Register the QueryNest MCP server in PolicyLayer and add a rule for select_collection: 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 QueryNest. Nothing to install.
select_collection 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 select_collection 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 select_collection. 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.
select_collection is provided by the QueryNest MCP server (niuzaishu/querynest). 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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