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