add_earnings · Paylocity MCP Server MCP: Risk & Policy

WHAT IT DOES

What add_earnings does on Paylocity MCP Server

AI agents use add_earnings to create or update resources in Paylocity MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Paylocity MCP Server environment.

WHY IT NEEDS A POLICY

Why add_earnings needs a policy

This tool creates or modifies employee earnings records, which are reversible data modifications. While it involves financial data, it does not directly move money or commit financial obligations (the Financial category); rather, it creates earning entries in a payroll system.

From the tool's definition Tool name 'add_earnings' and description explicitly states it adds 'one-time or recurring earning' (bonus, commission, stipend, overtime). This creates new financial records for employees.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_earnings Rate-limited

add_earnings stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_earnings": {
      "limits": [
        {
          "counter": "add_earnings_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Paylocity MCP Server, so you can run agents against it safely.

FAQ

Questions about add_earnings

What does the add_earnings tool do? +

Add a one-time or recurring earning to an employee (bonus, commission, stipend, overtime, etc.). Use get_company_codes or check existing earnings for valid earning codes. It is categorised as a Write tool in the Paylocity MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_earnings? +

Register the Paylocity MCP Server MCP server in PolicyLayer and add a rule for add_earnings: 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 Paylocity MCP Server. Nothing to install.

What risk level is add_earnings? +

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

Can I rate-limit add_earnings? +

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

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

add_earnings is provided by the Paylocity MCP Server MCP server (lucid-drone-technologies/paylocity-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.