list_openai_ads_spend_windows

SERVERHermoso SOURCEhttps://app.hermoso.ai/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/hermoso/list-openai-ads-spend-windows.md

WHAT IT DOES

What list_openai_ads_spend_windows does on Hermoso

AI agents call list_openai_ads_spend_windows to retrieve information from Hermoso without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why list_openai_ads_spend_windows is rated Low

Even though list_openai_ads_spend_windows only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs list_openai_ads_spend_windows safely

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

list_openai_ads_spend_windows Allowed

list_openai_ads_spend_windows is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_openai_ads_spend_windows": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about list_openai_ads_spend_windows

What does the list_openai_ads_spend_windows tool do? +

Account-level SPENDING LIMITS on ChatGPT Ads, both kinds: the date-range SPEND-LIMIT WINDOWS (a ceiling on what the whole account may spend between an inclusive start date and an exclusive end date, with amount and spent so far) and the DAILY LIMIT (a per-day ceiling that renews at midnight in the account timezone, with what is spent and left today). Also returns the configuration. It is categorised as a Read tool in the Hermoso MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_openai_ads_spend_windows? +

Register the Hermoso MCP server in PolicyLayer and add a rule for list_openai_ads_spend_windows: 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 Hermoso. Nothing to install.

What risk level is list_openai_ads_spend_windows? +

list_openai_ads_spend_windows is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_openai_ads_spend_windows? +

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

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

list_openai_ads_spend_windows is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Hermoso, and thousands of servers like it.

This server

All 896 Hermoso tools →

Across the catalogue

list_symbols on ACE-MCP →aiva_list_affiliates on AIVA MCP Server →list_circuits on 0gzk → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →