AI agents call get_list_target to retrieve information from AdButler without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | number | Yes | List target ID |
Parameters from the server's own tool schema.
This tool retrieves or queries details about a list target in the AdButler system. It performs a read-only operation with no capability to modify, delete, or execute external operations. The blast radius of misuse is minimal—an AI agent could at most retrieve information about targeting lists, which poses low risk to the system.
From the tool's definition Tool name 'get_list_target' and description 'Get details of a specific list target' indicate retrieval of existing data without modification or side effects.
Attacks that exploit this kind of access
Get details of a specific list target. It is categorised as a Read tool in the AdButler MCP Server, which means it retrieves data without modifying state.
get_list_target accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the AdButler MCP server in PolicyLayer and add a rule for get_list_target: 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 AdButler. Nothing to install.
get_list_target is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_list_target 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.
Set action: deny in the PolicyLayer policy for get_list_target. 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.
get_list_target is provided by the AdButler MCP server (adbutler/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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