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adbutler

AdButler MCP Server

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by adbutler

create_audience

Create an audience by defining targeting attributes within a user database, enabling precise ad segmentation for campaigns.

Instructions

Create a new audience in a user database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoAudience name
attributesNoAttribute targets defining the audience (e.g. { "gender": { "operator": "=", "operand": "male" } })
user_db_idYesUser database ID
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It does not disclose side effects, permissions, duplicate handling, or response format. The phrase 'create a new audience' adds little beyond the tool name.

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, efficient sentence with no wasted words. It is front-loaded with the action and resource.

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?

The description is too sparse for a tool with nested objects and no output schema. It fails to explain the relationship between the audience and user_db_id, the requirement to reference an existing user database, or what the response will be.

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 baseline is 3. The description does not add parameter-level meaning, but the schema already provides clear descriptions, including an example for the 'attributes' object.

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 clearly states the action (create), the resource (audience), and the context (user database). It distinguishes from sibling tools like get_audience, update_audience, and delete_audience by specifying a create operation.

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?

The description implies usage (use to create a new audience) but does not provide when-to-use vs alternatives, prerequisites, or exclusions. No comparison to related tools such as create_data_list or create_user_db.

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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