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remove_annotation_layer

Remove a specific layer from an annotation. Provide annotation name and layer name to delete the layer.

Instructions

Remove a layer from an annotation.

Args: annotation_name: Name of the annotation data block. layer_name: Name of the layer to remove.

Returns: Confirmation dict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
annotation_nameYes
layer_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states that the tool removes a layer and returns a confirmation, but it lacks details on side effects (e.g., whether removal is irreversible), error handling, or permission requirements.

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 exceptionally concise: one sentence for purpose, two lines for parameter definitions, and one line for returns. Every sentence contributes value with no redundancy.

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?

Given the simplicity of the tool (two parameters, no annotations, no output schema shown but mentioned), the description is adequate for a basic removal action. However, it could improve by noting error conditions or confirming that the layer must exist. The mention of a 'Confirmation dict' hints at the return type but lacks 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?

The input schema has 0% description coverage, so the description adds essential meaning by defining each parameter: 'annotation_name' as the name of the annotation data block, and 'layer_name' as the name of the layer to remove. This is minimal but sufficient to convey what each parameter represents.

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 clearly states the action: 'Remove a layer from an annotation.' It uses a specific verb and resource, making the purpose unambiguous. However, it does not differentiate from the sibling tool 'add_annotation_layer' or other annotation-related tools, which would enhance clarity.

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. It does not mention prerequisites (e.g., requiring an existing annotation), nor does it specify scenarios where this tool is appropriate or inappropriate.

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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