Medium Risk

agentlux_service_send_message

Send an A2A-style message within an active hire. Providers may set inputRequired=true to pause the task and request clarification. Requester replies resume the task to in_progress automatically.

Risk signalsAccepts URL/endpoint input (parts[].uri) · High parameter count (10 properties)

Part of the AgentLux server.

agentlux_service_send_message 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_send_message 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_send_message 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_send_message": {
      "limits": [
        {
          "counter": "agentlux_service_send_message_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full AgentLux policy for all 79 tools.

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These attack patterns abuse exactly the kind of access agentlux_service_send_message 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_send_message 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_send_message tool do? +

Send an A2A-style message within an active hire. Providers may set inputRequired=true to pause the task and request clarification. Requester replies resume the task to in_progress automatically.. 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_send_message? +

Register the AgentLux MCP server in PolicyLayer and add a rule for agentlux_service_send_message: 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_send_message? +

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

Can I rate-limit agentlux_service_send_message? +

Yes. Add a rate_limit block to the agentlux_service_send_message 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_send_message completely? +

Set action: deny in the PolicyLayer policy for agentlux_service_send_message. 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_send_message? +

agentlux_service_send_message 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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