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Create dashboard

create_dashboard

Create a dashboard, optionally with widgets. Widget types: metric (one number), bar, line, pie, pivot (summary table), text (Markdown). Charts group by a field (x for bar and line, group for pie, rows and columns for pivot); date fields are bucketed by month unless bucket says otherwise. metric is what each number is: count, or sum/avg/min/max of a field. Widgets without a position stack below each other on a 12-column grid.

Input Schema

NameRequiredDescriptionDefault
nameYes
baseIdYes
widgetsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, and destructiveHint=false, so the mutation/safety profile is covered. The description adds useful behavioral defaults beyond annotations, including automatic stacking for widgets without positions and monthly date bucketing unless overridden.

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 front-loaded with the create action and then spends its space on the complex widget model. It is dense but appropriately sized for the widget configuration surface, with little filler.

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?

The tool is complex due to nested widget configuration, and the description covers widget semantics fairly well. However, it omits core creation context such as what baseId means, whether all widgets are created atomically, and what the tool returns, which matters more because there is no 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?

Top-level schema descriptions are absent for name, baseId, and widgets, so the description must compensate. It explains widget types, grouping fields, metric semantics, and date bucketing well, but does not explain baseId/name or many other widget properties, leaving partial compensation.

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 first sentence clearly states a specific verb and resource: creating a dashboard, optionally with widgets. It does not explicitly differentiate from update_dashboard or get_dashboard, but the create intent is unambiguous.

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 does not say when to use create_dashboard versus update_dashboard, get_dashboard, or list_dashboards, nor does it state prerequisites such as needing an existing base. Usage is implied only by the word 'Create'.

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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