AI agents call sort_data to retrieve information from DataBeak without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Sorting data typically reorders rows without modifying underlying data — a read/transform operation with no persistent side effects. However, given the empty description, confidence is low. In the context of this server (CSV data transformation), sort_data most likely reorders data in memory rather than destructively altering it. Severity is low as misuse of a sort operation has minimal blast radius.
From the tool's definition Tool name is 'sort_data'; description is empty and uninformative.
Attacks that exploit this kind of access
sort_data. It is categorised as a Read tool in the DataBeak MCP Server, which means it retrieves data without modifying state.
Register the DataBeak MCP server in PolicyLayer and add a rule for sort_data: 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.
sort_data 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 sort_data 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 sort_data. 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.
sort_data 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.
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