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adbutler

AdButler MCP Server

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by adbutler

create_user_db

Create a new user database in AdButler by specifying a name and the primary identifier field for users.

Instructions

Create a new user database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoUser database name
id_field_nameNoName of the field to use as primary user identifier
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'Create a new user database' without mentioning side effects, permissions, idempotency, error behavior, or the relationship to user attributes or lists.

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

Conciseness4/5

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

The description is a single, direct sentence with no filler or redundant phrasing. It is front-loaded and efficient, though extremely sparse; this still meets a high standard for conciseness.

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?

For a creation tool with no annotations and no output schema, the description should explain the purpose of the database, the role of 'id_field_name', and what a successful creation returns. It provides none of this, leaving the agent uncertain about expected results and side effects.

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%: both 'name' and 'id_field_name' have inline descriptions, so the schema already explains the parameters. The description adds no parameter-level detail, so the baseline of 3 is appropriate.

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

Purpose4/5

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

The description uses a specific verb ('Create') and a clear resource ('user database'), so the agent can tell this tool creates a user database rather than a user or an advertiser. It distinguishes from siblings like 'get_user_db' and 'create_user' by naming the database resource, though it does not elaborate on the database's role.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives such as 'list_user_dbs', 'get_user_db', or 'create_user'. There are no prerequisites, exclusions, or contextual hints, so the agent must infer usage entirely from the tool name.

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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