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voducdan

metabase-mcp

by voducdan

create_dashboard

Creates a new Metabase dashboard with a required name, optional description, collection placement, and filter parameters for organizing and visualizing data.

Instructions

Create a new dashboard in Metabase.

Args:
    name: Name of the dashboard.
    description: Optional description of the dashboard.
    collection_id: Optional collection ID to place the dashboard in.
    parameters: Optional list of parameter/filter configurations for the dashboard.

– Returns: The created dashboard object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
descriptionNo
collection_idNo
parametersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the full burden. It correctly states that the tool creates a new dashboard and returns the object, but does not disclose any side effects, authorization needs, rate limits, or persistence details. Basic, but adequate for a straightforward creation 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 efficiently structured with a one-line purpose statement followed by clear Args and Returns sections. Every sentence adds value without redundancy. The front-loaded purpose immediately informs the agent.

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 moderate complexity (4 params, no annotations, but output schema exists), the description covers the essential aspects. It explains each parameter and the return value. Minor omissions include default behavior for collection_id and detailed parameter format, but overall sufficient.

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 input schema has 0% parameter descriptions, yet the tool description provides one-line explanations for all four parameters (name, description, collection_id, parameters). This adds meaningful context beyond the schema types, though it could be more explicit about the format of 'parameters'.

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 explicitly states 'Create a new dashboard in Metabase.' which is a clear verb-resource pairing. The tool name 'create_dashboard' aligns perfectly with this purpose, and it is well-distinguished from sibling tools like 'list_dashboards' and 'update_dashboard'.

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

Usage Guidelines3/5

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

The description implies usage for creating a new dashboard but lacks explicit guidance on when to use this tool versus alternatives (e.g., when a dashboard already exists, or prerequisites like collection existence). No exclusions or contextual hints are provided.

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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