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speakai

Speak AI MCP Server

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by speakai

List Dashboard Widgets

list_dashboard_widgets
Read-onlyIdempotent

Discover all dashboard widget types, their display details, and required configuration keys for building and customizing dashboards on Speak AI.

Instructions

Discovery + how-to helper for building and customizing dashboards. Returns every widget type with what it shows and the exact config keys it accepts (metrics, fieldId, aggregator, chartType, accentColor, scopeOverride, …), the config that applies to all widgets, two complete worked example payloads (including the field-metric and metric-group cards), and tips for managing dashboards. Call this before create_dashboard / update_dashboard.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoResponse payload from the Speak AI API
Behavior5/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, etc. The description adds rich behavioral detail: returns widget types, config keys, two worked examples, and tips. No contradictions.

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 informative but slightly lengthy. It is front-loaded with 'Discovery + how-to helper' and every sentence adds value, though it could be slightly more concise.

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?

Given no parameters, existing output schema, and rich annotations, the description is complete: it explains the return content, provides examples, and tells why to call it. No gaps.

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?

There are zero parameters, so the baseline is 4. The description does not need to add parameter info, and it doesn't add redundant details.

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 it returns every widget type with what it shows and config keys, and explicitly distinguishes from siblings by recommending to call it before create_dashboard/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 Guidelines5/5

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

It gives clear when-to-use guidance: 'Call this before create_dashboard / update_dashboard.' It also positions itself as a discovery and how-to helper, making its context unambiguous.

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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