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lakeview_dashboard_create

Create a Lakeview dashboard with a display name and default SQL warehouse. Optionally specify a workspace folder and JSON dashboard definition.

Instructions

Create a Lakeview dashboard.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
display_nameYesDashboard display name
warehouse_idYesDefault SQL warehouse ID for the dashboard's queries
parentNoWorkspace path or folder IDfolders/root
serialized_dashboardNoOptional JSON-encoded dashboard definition

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations already indicate readOnlyHint=false, so the description adds no additional behavioral disclosure. It fails to mention important traits like whether an existing dashboard is overwritten, permission requirements, or any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no wasted words. It could be slightly more informative without sacrificing brevity, but it is efficient for a simple create operation.

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

Completeness2/5

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

Given that there is an output schema, the description does not explain return values. It also omits important context about the serialized_dashboard parameter (e.g., null creates a blank dashboard) and the meaning of the parent folder. The tool has 4 parameters and two required, so more context is needed for completeness.

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?

Schema description coverage is 100%, so the description does not need to add parameter details. It does not add any extra meaning beyond what the schema provides, resulting in a baseline score.

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 explicitly states 'Create a Lakeview dashboard', using a specific verb and resource. It clearly distinguishes from sibling tools like lakeview_dashboard_delete, lakeview_dashboard_get, etc., which have different actions.

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 on when to use this tool versus alternatives such as lakeview_dashboard_update or lakeview_schedule_create. The description does not provide any context for decision-making.

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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