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adbutler

AdButler MCP Server

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by adbutler

list_data_lists

List all data lists in your AdButler account. Retrieve paginated results using limit and offset parameters.

Instructions

List all data lists in your AdButler account

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return (default 100, max 100)
offsetNoPagination offset
Behavior2/5

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

With no annotations, the description carries the full burden. It only states that the tool lists all data lists. It does not disclose pagination behavior (despite limit/offset parameters), result format, default limits, or confirm read-only nature. The verb 'List' implies read-only, but no substantive behavioral detail is added.

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?

A single, clear sentence with no redundant information. Every word contributes to the purpose.

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?

For a simple list operation, the description is minimally adequate. However, there is no output schema and no mention of pagination defaults or return structure. The description does not fully compensate for the missing behavioral context, though the schema and simple nature of the tool keep it at a viable level.

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?

The schema fully describes both parameters (limit and offset) with 100% coverage. The description adds no additional meaning beyond the schema, so the baseline of 3 applies.

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 identifies the resource ('data lists'), the action ('List all'), and the scope ('in your AdButler account'). This distinguishes it from sibling tools like get_data_list (single) and create_data_list.

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?

No guidance is provided on when to use this tool versus alternatives such as get_data_list. The phrase 'all data lists' implies listing versus fetching a single item, but no explicit when/when-not or alternative naming is given.

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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