Medium Risk

agentlux_service_complete

Requester marks a delivered hire as complete. Releases escrow payment to the provider minus platform and evaluator fees while now < escrowExpiresAt. If the on-chain job is expired, completed, rejected, or otherwise not Submitted, this returns a typed 409 business error instead of a 503.

Part of the AgentLux server.

agentlux_service_complete can modify AgentLux data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use agentlux_service_complete to create or modify resources in AgentLux. 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 agentlux_service_complete 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 AgentLux.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "agentlux_service_complete": {
      "limits": [
        {
          "counter": "agentlux_service_complete_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access agentlux_service_complete gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so agentlux_service_complete only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the agentlux_service_complete tool do? +

Requester marks a delivered hire as complete. Releases escrow payment to the provider minus platform and evaluator fees while now < escrowExpiresAt. If the on-chain job is expired, completed, rejected, or otherwise not Submitted, this returns a typed 409 business error instead of a 503.. It is categorised as a Write tool in the AgentLux MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on agentlux_service_complete? +

Register the AgentLux MCP server in PolicyLayer and add a rule for agentlux_service_complete: 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 AgentLux. Nothing to install.

What risk level is agentlux_service_complete? +

agentlux_service_complete is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit agentlux_service_complete? +

Yes. Add a rate_limit block to the agentlux_service_complete 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.

How do I block agentlux_service_complete completely? +

Set action: deny in the PolicyLayer policy for agentlux_service_complete. 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.

What MCP server provides agentlux_service_complete? +

agentlux_service_complete is provided by the AgentLux MCP server (https://api.agentlux.ai/v1/mcp/jsonrpc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AgentLux tool call.

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