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adbutler

AdButler MCP Server

Official
by adbutler

create_advertiser

Create a new advertiser in AdButler with name, email, password, and permissions. Configure custom metadata and control advertiser access to submit ads or change passwords.

Instructions

Create a new advertiser

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesAdvertiser name
emailNoContact email
metadataNoCustom metadata key-value pairs
passwordNoPassword for advertiser portal (min 8 chars, must include upper, lower, number)
can_add_ad_itemsNoWhether advertiser can submit advertisements for scheduling
can_change_passwordNoWhether advertiser can change password
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description adds no behavioral context beyond the action itself. It does not disclose effects like whether an advertiser ID is returned, whether duplicate names are prevented, or any permission requirements, leaving the agent without critical operational detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler or redundancy. Every word contributes to stating the core action, making it highly concise and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite a fully described schema, there is no output schema and the description fails to state what the tool returns (e.g., created advertiser object or ID). It also omits any side effects, error conditions, or validation behavior, leaving a significant completeness gap for a create operation with six parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all six parameters including details like password constraints and metadata structure. The description itself adds no parameter-level meaning, but baseline 3 is appropriate when the schema carries the full semantic load.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Create a new advertiser' uses a specific verb and resource, clearly indicating it creates an advertiser. It differentiates well from sibling tools like update_advertiser, delete_advertiser, and get_advertiser by naming the create action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: use this when you need to create a new advertiser. However, there is no explicit guidance on when not to use it, no mention of prerequisites, and no alternatives are named, so it lacks the explicit clarity expected for a higher score.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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