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adbutler

AdButler MCP Server

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by adbutler

create_user_attribute

Add a new attribute to a user database by specifying field name, data type, and label.

Instructions

Create a new user attribute in a user database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoField name in the user data (e.g. "signup_datetime")
typeNoData type of the field
labelNoDescriptive label for the field
user_db_idYesUser database ID
Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It only repeats the operation 'create' with no additional details such as required existence of the user_db_id, uniqueness constraints, or potential side effects. The description adds minimal value beyond the tool's 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 sentence with no filler, front-loaded with the verb 'Create' and the resource. It is highly concise and to the point, with zero wasted words.

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

Completeness3/5

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

The description gives basic context (creating an attribute within a user database) but omits other useful context like the distinction between required and optional parameters, the interpretation of 'id' vs 'label', or any post-creation behavior. Given the tool's simplicity and fully described schema, it is adequate but not rich in contextual detail.

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?

All four parameters are fully documented in the schema with 100% coverage, so the schema carries the heavy lifting. The description does not add any parameter-level meaning beyond what the schema already provides, warranting the baseline score of 3.

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') and the resource ('a new user attribute in a user database'). It distinguishes itself from sibling tools like get_user_attribute, update_user_attribute, and delete_user_attribute by using the specific 'create' verb and the context 'in a user database'.

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 provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. It does not mention that this is for adding a new field to an existing user database or contrast with updating an existing attribute.

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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