AI agents use add_column to create or update resources in DataBeak — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your DataBeak environment.
Adding a column to a dataset is a reversible modification that creates new data structures. This is less severe than Destructive (no deletion) but more impactful than Read (data is altered). Confidence is moderate due to missing description; if the tool unexpectedly deletes data or performs irreversible operations, severity would increase.
From the tool's definition Tool name 'add_column' suggests creating or modifying a CSV dataset by adding a new column. The empty description prevents confirmation of exact behavior, but the name and server context (CSV data transformation tools) indicate this is a Write operation.
Attacks that exploit this kind of access
add_column. It is categorised as a Write tool in the DataBeak MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the DataBeak MCP server in PolicyLayer and add a rule for add_column: 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 DataBeak. Nothing to install.
add_column 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 add_column 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 add_column. 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.
add_column is provided by the DataBeak MCP server (jonpspri/databeak). 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.
Teams ship this data inside their own products. See what a licence covers →