draft_get_campaign_assignment
Get details of a specific draft campaign assignment
This record as markdown: /tools/adbutler/draft-get-campaign-assignment.md
What draft_get_campaign_assignment does on AdButler
AI agents call draft_get_campaign_assignment to retrieve information from AdButler without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | number | Yes | Draft campaign assignment ID |
Parameters from the server's own tool schema.
Why draft_get_campaign_assignment is rated Low
This tool queries campaign assignment details. The verb 'get' and the word 'details' indicate a retrieval operation with no side effects. No creation, modification, deletion, or execution occurs. Classification as Read is appropriate, with low severity since information disclosure about draft campaigns poses minimal risk compared to modification or destructive actions.
From the tool's definition Tool name includes 'get' and description states 'Get details of a specific draft campaign assignment' — classic read operation that retrieves data without modification.
Attacks that exploit this kind of access
The rule that runs draft_get_campaign_assignment safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AdButler, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For draft_get_campaign_assignment, this is the rule to start with:
draft_get_campaign_assignment is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AdButler, apply this rule, and every draft_get_campaign_assignment call is checked against it from then on.
Questions about draft_get_campaign_assignment
Get details of a specific draft campaign assignment. It is categorised as a Read tool in the AdButler MCP Server, which means it retrieves data without modifying state.
draft_get_campaign_assignment 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 draft_get_campaign_assignment: 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.
draft_get_campaign_assignment 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 draft_get_campaign_assignment 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 draft_get_campaign_assignment. 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.
draft_get_campaign_assignment 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.
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