Medium Risk

create_assignment

Create a new phone call assignment. Do NOT call this tool immediately. Follow this workflow: 1. Gather info: Ask the user for any missing details — phone number, desired call time, timezone, and language. Do NOT guess or fabricate values. 2. Select agent: Call list_agents to show available agents...

Part of the Leximo Ai Call Assistant server.

create_assignment can modify Leximo Ai Call Assistant 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 create_assignment to create or modify resources in Leximo Ai Call Assistant. 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 create_assignment 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 Leximo Ai Call Assistant.

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

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

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so create_assignment 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 create_assignment tool do? +

Create a new phone call assignment. Do NOT call this tool immediately. Follow this workflow: 1. Gather info: Ask the user for any missing details — phone number, desired call time, timezone, and language. Do NOT guess or fabricate values. 2. Select agent: Call list_agents to show available agents. Recommend one based on the task or let the user choose. 3. Improve task: Call get_assignment_proposals with the user. It is categorised as a Write tool in the Leximo Ai Call Assistant MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_assignment? +

Register the Leximo Ai Call Assistant MCP server in PolicyLayer and add a rule for create_assignment: 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 Leximo Ai Call Assistant. Nothing to install.

What risk level is create_assignment? +

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

Can I rate-limit create_assignment? +

Yes. Add a rate_limit block to the create_assignment 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 create_assignment completely? +

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

create_assignment is provided by the Leximo Ai Call Assistant MCP server (leximo-ai-call-assistant-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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