create_bidder

Create a new bidder

SERVERAdButler SOURCEadbutler/mcp-server

Medium RISK CLASS

Category Write

Parameters 31 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adbutler/create-bidder.md

WHAT IT DOES

What create_bidder does on AdButler

AI agents use create_bidder 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
`name`	string	Yes	Bidder name
`status`	string	—	Bidder status
`bid_url`	string	—	Bid endpoint URL

Parameters from the server's own tool schema.

RISK

Why create_bidder is rated Medium

Creating a new bidder modifies the system state by adding a new record, but this is reversible (can be archived or deleted). It does not execute arbitrary code, delete data irreversibly, or move money. The medium severity reflects that misconfigured bidders in an ad system could cause unintended campaign behavior or financial impact, but the tool itself is a straightforward Write operation.

From the tool's definition Tool name 'create_bidder' with description 'Create a new bidder' indicates data creation. Sibling tools include 'archive_*' and 'bulk_upload_*' patterns consistent with a campaign/advertising management system where bidders are reversible entities.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_bidder 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_bidder, this is the rule to start with:

create_bidder Rate-limited

create_bidder 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_bidder": {
      "limits": [
        {
          "counter": "create_bidder_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AdButler, apply this rule, and every create_bidder call is checked against it from then on.

FAQ

Questions about create_bidder

What does the create_bidder tool do? +

Create a new bidder. 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.

What parameters does create_bidder accept? +

create_bidder accepts 3 parameters: name, status, bid_url. Required: name. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_bidder? +

Register the AdButler MCP server in PolicyLayer and add a rule for create_bidder: 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.

What risk level is create_bidder? +

create_bidder is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_bidder? +

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

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

create_bidder 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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