Dual adversarial review: two independent reviewers assess the output from different angles, then a merge agent combines their findings. Stricter than single review — if either reviewer finds a critical issue, the merged verdict is FAIL. Use for high-stakes outputs where quality is critical.
AI agents call review_dual to retrieve information from Agentdesk without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only assessment tool. It retrieves and analyzes data (AI-generated outputs) and produces evaluative findings, but does not execute code, modify data, delete anything, or trigger financial actions. The strict verdict logic (FAIL if either reviewer flags critical issues) is part of the reporting mechanism, not a destructive action.
From the tool's definition Tool performs assessment and review of AI outputs ('two independent reviewers assess the output', 'merge agent combines their findings'). Returns findings/verdicts without modifying, deleting, or executing anything.
Attacks that exploit this kind of access
Dual adversarial review: two independent reviewers assess the output from different angles, then a merge agent combines their findings. Stricter than single review — if either reviewer finds a critical issue, the merged verdict is FAIL. Use for high-stakes outputs where quality is critical. It is categorised as a Read tool in the Agentdesk MCP Server, which means it retrieves data without modifying state.
Register the Agentdesk MCP server in PolicyLayer and add a rule for review_dual: 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 Agentdesk. Nothing to install.
review_dual 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 review_dual 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 review_dual. 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.
review_dual is provided by the Agentdesk MCP server (rih0z/agentdesk-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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