Find updated rows in a database after a specific datetime.
AI agents call appflowy_get_updated_rows to retrieve information from AppFlowy Cloud 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 and retrieves rows that have been modified since a given timestamp. It performs a search/filter operation on existing data without creating, modifying, deleting, or executing any external operations. The action is purely informational and has no blast radius for misuse—it simply returns data the requester may already have access to.
From the tool's definition Tool name 'appflowy_get_updated_rows' and description 'Find updated rows in a database after a specific datetime' indicate data retrieval with no side effects.
Attacks that exploit this kind of access
Find updated rows in a database after a specific datetime. It is categorised as a Read tool in the AppFlowy Cloud MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AppFlowy Cloud MCP Server MCP server in PolicyLayer and add a rule for appflowy_get_updated_rows: 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 AppFlowy Cloud MCP Server. Nothing to install.
appflowy_get_updated_rows 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 appflowy_get_updated_rows 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 appflowy_get_updated_rows. 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.
appflowy_get_updated_rows is provided by the AppFlowy Cloud MCP Server MCP server (jemo69/appflowy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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