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superset_annotation_layer_list

List annotation layers in Apache Superset. These containers hold timeline annotations for overlaying on charts, with pagination controls and an option to fetch all records.

Instructions

List annotation layers.

An annotation layer is a container for annotations (timeline events) that can be overlaid on charts.

Args: page: Page number (starting from 0). page_size: Number of records per page (max 100). get_all: Fetch ALL records with automatic pagination (ignores page/page_size).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
get_allNo
page_sizeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It explains pagination behavior and that get_all overrides page/page_size, which is useful. It does not outline authentication requirements or rate limits, but these are less relevant for a simple read-only list tool.

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 concise and front-loaded with the core purpose. The extra explanation about annotation layers and parameter details is valuable without being verbose. No wasted words.

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

Completeness4/5

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

Given the tool's simplicity, an output schema exists, and the description covers key behaviors and parameter semantics. It could mention sorting or filtering options, but for a basic list tool with three simple params, it is sufficiently complete.

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

Parameters5/5

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

Input schema has 0% description coverage, but the description compensates fully by explaining each parameter: page starts at 0, page_size max 100, get_all ignores pagination. This adds significant meaning beyond the bare schema types and defaults.

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 states 'List annotation layers' with a specific verb and resource, and clarifies that an annotation layer is a container for annotations, effectively distinguishing it from the sibling tool superset_annotation_list.

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

Usage Guidelines4/5

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

Provides clear context on what an annotation layer is and how to use the pagination parameters, but does not explicitly mention alternatives or exclusion criteria. The distinction from annotation_list is implied rather than stated.

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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