# paid_ads_optimizer

Optimiseur de publicités payantes — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Spendesk (Google + LinkedIn · €45k/mo) — €9k/mo gaspillés identifiés · ROAS LinkedIn ×2.4. Inputs are validated server-side — send the documented case fields.

Agent View of the PolicyLayer registry record for `paid_ads_optimizer`. HTML page: https://policylayer.com/tools/io-github-getgapup-gapup-mcp/paid-ads-optimizer

## Facts

- Tool: `paid_ads_optimizer`
- Server: Gapup Mcp (`https://mcp.gapup.io/mcp`) — https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md
- Homepage: https://github.com/getgapup/gapup-mcp-public
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 6 (5 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `async` | boolean | no | 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 |
| `company` | object | yes |  |
| `campaigns` | array | yes |  |
| `targetMetric` | string | yes |  |
| `audienceDescription` | string | yes |  |
| `totalMonthlyBudgetEur` | number | yes |  |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "paid_ads_optimizer",
    "arguments": {
      "company": {},
      "campaigns": [],
      "targetMetric": "<targetMetric>",
      "audienceDescription": "<audienceDescription>",
      "totalMonthlyBudgetEur": 0
    }
  }
}
```

## Why paid_ads_optimizer is rated Medium

This tool modifies advertising campaigns and spend allocation, creating reversible changes to marketing configurations and budget deployment. While it has financial implications, it does not directly move money or create binding financial obligations (those would be Financial category); instead, it optimizes and reconfigures existing advertising parameters.

From the tool's own definition: "Tool optimizes and manages paid advertising campaigns (Google, LinkedIn) with direct financial impact (€45k/mo spend, €9k/mo waste reduction, ROAS optimization). Inputs are validated server-side and returns structured deliverables for execution."

Risk signals: High parameter count (13 properties)

## Use case

AI agents use paid_ads_optimizer 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.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Gapup Mcp:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "paid_ads_optimizer": {
      "limits": [
        {
          "counter": "paid_ads_optimizer_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Gapup Mcp (270)

- `adversarial_input_stress_tester` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/adversarial-input-stress-tester.md
- `dora_operational_resilience_stress_tes` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/dora-operational-resilience-stress-tes.md
- `financial_model_3statement` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/financial-model-3statement.md
- `gl_reconciler` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/gl-reconciler.md
- `lgpd_data_subject_rights_automator` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/lgpd-data-subject-rights-automator.md
- `monte_carlo_portfolio` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/monte-carlo-portfolio.md
- `process_mining` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/process-mining.md
- `ugc_moderation_classifier` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/ugc-moderation-classifier.md
- `workflow_orchestrator` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/workflow-orchestrator.md
- `abm_architect` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/abm-architect.md
- `account_expansion_mapper` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/account-expansion-mapper.md
- `anti_demissions_hr` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/anti-demissions-hr.md
- `audit_pre_flight` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/audit-pre-flight.md
- `budget_variance_ai` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/budget-variance-ai.md
- `capacity_planning` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/capacity-planning.md
- `capital_strategy` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/capital-strategy.md
- `churn_defender` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/churn-defender.md
- `competitor_moves` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/competitor-moves.md
- `competitor_recommendations` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/competitor-recommendations.md
- `content_engine` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/content-engine.md
- `cross_sell_reco` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/cross-sell-reco.md
- `customer_voice_synth` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/customer-voice-synth.md
- `cyber_risk_auditor` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/cyber-risk-auditor.md
- `deal_structurer` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/deal-structurer.md
- `discovery_prep` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/discovery-prep.md
- `diversity_inclusion_metrics` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/diversity-inclusion-metrics.md
- `earnings_reviewer` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/earnings-reviewer.md
- `enps_auto` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/enps-auto.md
- `event_marketing` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/event-marketing.md
- `fraud_detector` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/fraud-detector.md
- …and 240 more: https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-getgapup-gapup-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-gapup-mcp