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superset_annotation_layer_create

Create an annotation layer to overlay annotations on time-series charts. Provide a layer name and optional description to set up a container for organizing annotations.

Instructions

Create a new annotation layer.

A layer is a container for annotations that can be overlaid on time-series charts.

Args: name: Layer name. descr: Layer description (optional).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
descrNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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. It clearly states the action is 'Create' which implies mutation, but it does not disclose permission requirements, behavior on duplicates, or what happens with the optional descr. It adds only the layer-container context, not deeper behavioral traits.

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 three short lines of prose plus a compact Args list. It front-loads the action and every sentence contributes context or parameter meaning, with no redundancy.

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?

For a simple two-parameter create operation with an output schema, the description is mostly adequate. It explains what a layer is and defines both parameters. It doesn't discuss error conditions or permissions, but these are less critical given the tool's simplicity and presence of output schema.

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 provides only names and types with no descriptions (0% coverage). The Args section supplies one-line semantics for both parameters, clarifying 'descr' as a description and marking it optional. This meets the minimum but doesn't add details like allowed formats or defaults beyond the schema's default.

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 opens with 'Create a new annotation layer,' naming the exact verb and resource. It also explains that a layer is a container for annotations, distinguishing this from related tools like annotation_create.

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?

It provides context by explaining a layer is a container for annotations for time-series charts, implying layers are created before annotations. However, it does not explicitly state when to use this tool versus alternatives such as superset_annotation_create or when not to use it.

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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