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sheepit-ai

sheepit-mcp

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by sheepit-ai

Add a widget to a dashboard

widget_create

Add a timeseries widget to a dashboard by specifying a query, visualization type, and position. Supports chart styles like line, bar, area, and stacked bar.

Instructions

Create a new widget on the given dashboard. type is a widget type (V1: 'timeseries' only). query is an InsightsQuery — a discriminated union on kind (V1: 'timeseries' only). viz controls presentation (chartType: 'line' | 'bar' | 'area' | 'stacked_bar' | 'single_metric'). position defaults to a sensible {x,y,w,h} if omitted. Templates can't have widgets added via this tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes
nameYes
descriptionNo
positionNo
queryYes
vizNo
dashboard_idYesTarget dashboard.
Behavior3/5

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

Despite no annotations, the description discloses key behavioral traits such as V1 limitations, query type, viz options, and position defaults. It lacks detail on authorization or side effects, but provides sufficient context for safe invocation.

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 three sentences, front-loaded with the main action, and each sentence adds essential information without redundancy.

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 complexity (7 parameters, nested objects) and no output schema, the description covers primary constraints and defaults. It omits return value expectations but is adequate for agent invocation.

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?

With only 14% schema coverage, the description adds meaning for type, query (discriminated union), viz (chart options), and position (defaults). It does not elaborate on name, description, or dashboard_id, but the schema covers their basic types.

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 'Create a new widget on the given dashboard' with a specific verb and resource. It distinguishes this tool from sibling tools like widget_delete and widget_update by focusing on creation.

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 guidance with 'Templates can't have widgets added via this tool,' indicating when not to use it. However, no alternative tools are mentioned for template widget addition.

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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