AI agents use qf_record_update to create or update resources in Qingflow — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Qingflow environment.
This tool patches/updates a single record identified by applyId with new values. Updates are reversible modifications (the original state can be restored by reverting changes or patching back), so it falls under Write rather than Destructive.
From the tool's definition Tool name 'qf_record_update' and description 'Patch one record' indicate modification of existing data. The term 'patch' and 'update' are standard Write operations that create or modify data reversibly.
Attacks that exploit this kind of access
Patch one record by applyId with explicit answers or ergonomic fields mapping. It is categorised as a Write tool in the Qingflow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Qingflow MCP server in PolicyLayer and add a rule for qf_record_update: 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 Qingflow. Nothing to install.
qf_record_update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the qf_record_update 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 qf_record_update. 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.
qf_record_update is provided by the Qingflow MCP server (qingflow-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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