Update an existing row in a specific Retable
AI agents use update_row to create or update resources in Retable MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Retable MCP Server environment.
This tool modifies data (updates a row) but does not delete or irreversibly destroy it, so it is Write rather than Destructive. The severity is medium because an AI agent misusing this tool could corrupt or alter important data within a table, affecting data integrity and business logic, but the change is theoretically reversible through another update or rollback.
From the tool's definition Tool name 'update_row' and description 'Update an existing row in a specific Retable' indicate modification of data. The verb 'update' is explicitly a write operation that changes existing data reversibly.
Attacks that exploit this kind of access
Update an existing row in a specific Retable. It is categorised as a Write tool in the Retable MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Retable MCP Server MCP server in PolicyLayer and add a rule for update_row: 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 Retable MCP Server. Nothing to install.
update_row 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 update_row 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 update_row. 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.
update_row is provided by the Retable MCP Server MCP server (retable-io/mcp-server). 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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