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anythink-cloud

Anythink-MCP

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Dashboards: data

dashboards_data
Read-only

Retrieve current data from a saved dashboard's widgets, optionally limited to specific widget IDs and rows per widget, returning each widget's id, title, type, and data as JSON.

Instructions

Get the data behind a dashboard's widgets. Runs a saved dashboard's widgets, or only the widget ids passed, and shows each one's id, title, type and current data, trimmed to rows per widget. Use it to read what a dashboard shows now; use dashboards_widget_preview to try a widget that isn't on a dashboard yet. Returns JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDashboard ID. Find it with dashboards_list.
rowsNoMost rows or points to show per widget (default 20)
widgetNoOnly this widget's data. Repeat for several; leave out for every widget

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.37

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuine behavioral context: it runs widgets, returns each widget's id/title/type/current data, and trims output to rows per widget. It could still note cost/latency of running all widgets, but this is solid added value.

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?

Three front-loaded sentences with zero filler, moving from purpose to mechanism to routing to return format. Every sentence earns its place.

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?

Complete for a read-only tool: all parameters are schema-documented, the alternative is named, and the return shape is described even though no output schema exists. Nothing needed to call it correctly is missing.

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 all three parameters (id, rows, widget) are already documented in the schema. The description restates widget filtering and row trimming but adds no syntax or defaults beyond what the schema provides, so baseline 3 applies.

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?

States a specific verb and resource: gets the data behind a dashboard's widgets by running them and showing id, title, type and data. It clearly distinguishes itself from dashboards_widget_preview by scope (saved dashboard vs. unattached widget).

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?

Explicitly says when to use it ('read what a dashboard shows now') and names the alternative ('use dashboards_widget_preview to try a widget that isn't on a dashboard yet'). The selection condition is fully specified.

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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