Approve (pin) or reject (dismiss) a review queue item. Decision must be
Part of the GoldenCheck server.
Free to start. No card required.
AI agents use approve_reject to create or modify resources in GoldenCheck. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call approve_reject repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach GoldenCheck.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"approve_reject": {
"limits": [
{
"counter": "approve_reject_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full GoldenCheck policy for all 31 tools.
These attack patterns abuse exactly the kind of access approve_reject gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Approve (pin) or reject (dismiss) a review queue item. Decision must be. It is categorised as a Write tool in the GoldenCheck MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GoldenCheck MCP server in PolicyLayer and add a rule for approve_reject: 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 GoldenCheck. Nothing to install.
approve_reject 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 approve_reject 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 approve_reject. 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.
approve_reject is provided by the GoldenCheck MCP server (goldencheck). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 31 GoldenCheck tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.