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samabenie1

Skylight MCP Server

by samabenie1

create_list

Create new shopping or to-do lists in Skylight by giving a name, selecting 'shopping' for groceries or 'to_do' for tasks, and optionally adding a color.

Instructions

Create a new list in Skylight.

Use this when:

  • Creating a new shopping/grocery list

  • Creating a new to-do list

Parameters:

  • label (required): Name of the list (e.g., "Vacation Packing", "Weekly Groceries")

  • kind (required): "shopping" for grocery/shopping lists, "to_do" for task lists

  • color: Optional color for the list

Returns: The created list details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesType of list: 'shopping' or 'to_do'
colorNoOptional color for the list
labelYesName of the list (e.g., 'Vacation Packing')
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It states the tool 'creates' a new list, which implies mutation, and discloses the return value ('Returns: The created list details'). However, it does not mention permissions, side effects, or idempotency considerations beyond the basic creation action, which limits transparency.

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 well-structured with clear sections for use cases, parameters, and return value, all front-loaded with the primary action. It is appropriately sized—every sentence contributes useful information without redundancy.

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

Completeness5/5

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

The tool is simple (3 parameters, no nested objects, no output schema), and the description covers purpose, use cases, parameter details, and return value. This makes it complete for an agent to understand when and how to invoke the tool effectively.

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

Parameters4/5

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

The schema already covers all parameters with descriptions (100% coverage), setting a baseline of 3. The description adds value by providing concrete examples for 'label' (e.g., 'Vacation Packing', 'Weekly Groceries') and explaining the meaning of 'kind' enum values ('shopping' for grocery/shopping lists, 'to_do' for task lists), enhancing the semantic clarity beyond the schema.

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 a new list in Skylight') with a specific resource (list) and differentiates from sibling tools like create_chore or create_list_item by specifying 'shopping/grocery list' or 'to-do list'. The verb+resource combination is unambiguous and distinct.

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?

The description provides explicit 'Use this when' scenarios (creating shopping/grocery lists or to-do lists), giving clear context for when the tool is appropriate. However, it does not explicitly state when not to use this tool or mention alternatives like update_list for modifying existing lists, so it stops short of full exclusions.

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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