Low Risk

list_media_buys

<tool_description> List media buys with optional filters. View campaign history for advertisers or publishers. </tool_description> <when_to_use> To view existing media buys (campaigns). Filter by advertiser, publisher, status, or date. </when_to_use> <combination_hints> list_media_buys → get_camp...

Part of the Discovery server.

list_media_buys is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call list_media_buys to retrieve information from Discovery without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though list_media_buys only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_media_buys": {}
  }
}

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so list_media_buys only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the list_media_buys tool do? +

<tool_description> List media buys with optional filters. View campaign history for advertisers or publishers. </tool_description> <when_to_use> To view existing media buys (campaigns). Filter by advertiser, publisher, status, or date. </when_to_use> <combination_hints> list_media_buys → get_campaign_report for performance data. list_media_buys → get_compliance_status for compliance check. </combination_hints> <output_format> List of media buys with ID, status, bid, budget, spent, and dates. </output_format>. It is categorised as a Read tool in the Discovery MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_media_buys? +

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

What risk level is list_media_buys? +

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

Can I rate-limit list_media_buys? +

Yes. Add a rate_limit block to the list_media_buys 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_media_buys completely? +

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

list_media_buys is provided by the Discovery MCP server (https://mcp.nexbid.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Discovery tool call.

Deterministic rules across all 19 Discovery tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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