Manually resolve an order currently in EM_ANALISE by approving or declining it. Use when an analyst overrides ClearSale
AI agents invoke resolve_manual_review to trigger actions in Mcp Ap2. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers an external operational decision — approving or declining an order under manual fraud review. It overrides an automated system (ClearSale) and changes the state of an order, which can have downstream financial or fulfillment consequences.
From the tool's definition 'Manually resolve an order currently in EM_ANALISE by approving or declining it' and 'analyst overrides ClearSale'
Documented attack patterns abuse exactly the kind of access resolve_manual_review gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for resolve_manual_review:
{
"version": "1",
"default": "deny",
"tools": {
"resolve_manual_review": {
"limits": [
{
"counter": "resolve_manual_review_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} resolve_manual_review stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Manually resolve an order currently in EM_ANALISE by approving or declining it. Use when an analyst overrides ClearSale. It is categorised as a Execute tool in the Mcp Ap2 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for resolve_manual_review: 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 Ap2. Nothing to install.
resolve_manual_review is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the resolve_manual_review 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 resolve_manual_review. 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.
resolve_manual_review is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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