AI agents use create_product_source 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 |
|---|---|---|---|
url | string | — | Source URL |
name | string | — | Source name |
type | string | — | Source type |
publisher_id | number | Yes | Publisher ID |
Parameters from the server's own tool schema.
This tool creates a new product source, which is a reversible write operation. It modifies system state by adding a new record but does not delete data (ruling out Destructive), execute code (ruling out Execute), or move money (ruling out Financial).
From the tool's definition Tool description states 'Create a new product source' — a create operation that adds a new resource to the AdButler system.
Risk signalsAccepts URL/endpoint input (url)
Attacks that exploit this kind of access
Create a new product source for a publisher. 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_product_source accepts 4 parameters: url, name, type, publisher_id. Required: publisher_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 create_product_source: 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_product_source 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_product_source 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_product_source. 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_product_source 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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