request_export_report
AI agents use request_export_report to create or update resources in Mcp Kraken — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Kraken environment.
An AI agent can call request_export_report faster than any human can review — one bad instruction and it creates or modifies resources in Mcp Kraken by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
request_export_report. It is categorised as a Write tool in the Mcp Kraken MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Kraken MCP server in PolicyLayer and add a rule for request_export_report: 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 Mcp Kraken. Nothing to install.
request_export_report 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 request_export_report 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 request_export_report. 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.
request_export_report is provided by the Mcp Kraken MCP server (xavierbeheydt/mcp-kraken). 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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