onboarding_salaries

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp

Medium RISK CLASS

Category Write

Parameters 42 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/onboarding-salaries.md

WHAT IT DOES

What onboarding_salaries does on Gapup Mcp

AI agents use onboarding_salaries to create or update resources in Gapup Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gapup Mcp environment.

Parameter	Type	Required	Description
`async`	boolean	—	If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti
`focus`	string	—
`roles`	array	Yes
`company`	object	Yes

Parameters from the server's own tool schema.

RISK

Why onboarding_salaries is rated Medium

This tool creates or modifies employee onboarding data and processes (structured deliverables for multiple departments). While it doesn't delete or execute arbitrary code, it creates/initializes personnel records and operational workflows. Classified as Write rather than Read (creates data), Execute (no arbitrary code execution), or Destructive (reversible).

From the tool's definition Tool description states it performs 'Onboarding opérationnel des salariés' (operational employee onboarding) and returns 'a structured, audited deliverable' with multi-track journey plans.

Risk signalsHigh parameter count (17 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs onboarding_salaries safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For onboarding_salaries, this is the rule to start with:

onboarding_salaries Rate-limited

onboarding_salaries 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": {
    "onboarding_salaries": {
      "limits": [
        {
          "counter": "onboarding_salaries_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every onboarding_salaries call is checked against it from then on.

FAQ

Questions about onboarding_salaries

What does the onboarding_salaries tool do? +

Onboarding opérationnel des salariés — Gapup agent-payable C-suite expertise (COO). Returns a structured, audited deliverable. Reference case: Pennylane (FR fintech SaaS, ~250 FTE) — 5 parcours 30/60/90 jours · Engineering / Sales / CS / Design / People Ops. Inputs are validated server-side — send the documented case fields. It is categorised as a Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does onboarding_salaries accept? +

onboarding_salaries accepts 4 parameters: async, focus, roles, company. Required: roles, company. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on onboarding_salaries? +

Register the Gapup MCP server in PolicyLayer and add a rule for onboarding_salaries: 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 Gapup Mcp. Nothing to install.

What risk level is onboarding_salaries? +

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

Can I rate-limit onboarding_salaries? +

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

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

onboarding_salaries is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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