create_campaign_assignment
Create a new campaign assignment (assign an ad item to a campaign)
This record as markdown: /tools/adbutler/create-campaign-assignment.md
What create_campaign_assignment does on AdButler
AI agents use create_campaign_assignment to create or update resources in AdButler, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AdButler environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
active | boolean | — | Whether assignment is active (defaults to true) |
weight | number | — | Relative delivery weight (defaults to 1) |
campaign | object | Yes | Campaign object with id and type |
keywords | string | — | Comma-separated keywords for targeting |
schedule | number | — | Schedule ID (only if campaign scheduling_source is "AD_ITEM") |
geo_target | number | — | Geo Target ID (only if campaign targeting_source is "AD_ITEM") |
list_target | number | — | List Target ID |
advertisement | object | Yes | Advertisement object with id and type |
data_key_target | number | — | Data Key Target ID |
platform_target | number | — | Platform Target ID |
keywords_match_method | string | — | Keyword matching method |
Parameters from the server's own tool schema.
Why create_campaign_assignment is rated Medium
This tool creates a new association/assignment between an ad item and a campaign. This is a Write operation because it creates or modifies data (campaign assignments) in a reversible manner. It does not execute arbitrary code, delete data permanently, move money, or read-only retrieve information.
From the tool's definition Tool name and description indicate 'Create a new campaign assignment' — a reversible data creation action that assigns an ad item to a campaign in the AdButler advertising platform.
Risk signalsHigh parameter count (15 properties)
Attacks that exploit this kind of access
The rule that runs create_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 create_campaign_assignment, this is the rule to start with:
create_campaign_assignment stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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 create_campaign_assignment call is checked against it from then on.
Questions about create_campaign_assignment
Create a new campaign assignment (assign an ad item to a campaign). It is categorised as a Write tool in the AdButler MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_campaign_assignment accepts 11 parameters: active, weight, campaign, keywords, schedule, geo_target, list_target, advertisement, data_key_target, platform_target, keywords_match_method. Required: campaign, advertisement. 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 create_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.
create_campaign_assignment is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_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 create_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.
create_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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