Low Risk

search_behaviors

Get all available behavior targeting options. Args: access_token: Meta API access token (optional - will use cached token if not provided) limit: Maximum number of results to return (default: 50) Returns: JSON string containing behavior targeting options with id, name, audience_size bounds, path,...

How to control search_behaviors ↓

AI agents call search_behaviors to retrieve information from Meta Ads MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This is a data retrieval tool that queries Meta's advertising API to fetch behavior targeting metadata. The operation is non-destructive and produces no side effects—it merely lists available targeting parameters without modifying any campaigns, budgets, or ad content. The parameters (access_token, limit) control what existing data is returned, not what is changed.

From the tool's definition The tool description explicitly states it retrieves 'available behavior targeting options' with no modification, creation, or deletion capabilities.

Documented attack patterns abuse exactly the kind of access search_behaviors gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Meta Ads MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for search_behaviors:

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

search_behaviors is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Meta Ads MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the search_behaviors tool do? +

Get all available behavior targeting options. Args: access_token: Meta API access token (optional - will use cached token if not provided) limit: Maximum number of results to return (default: 50) Returns: JSON string containing behavior targeting options with id, name, audience_size bounds, path, and description. It is categorised as a Read tool in the Meta Ads MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_behaviors? +

Register the Meta Ads MCP server in PolicyLayer and add a rule for search_behaviors: 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 Meta Ads MCP. Nothing to install.

What risk level is search_behaviors? +

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

Can I rate-limit search_behaviors? +

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

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

search_behaviors is provided by the Meta Ads MCP server (pipeboard-co/meta-ads-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Meta Ads MCP tool call.

Deterministic rules across all 42 Meta Ads MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

42 Meta Ads MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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