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anythink-cloud

Anythink-MCP

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Dashboards: get

dashboards_get
Read-only

Retrieve a dashboard's widgets, layout, settings, and owner to find widget IDs for removal, data, or updates. Returns JSON with each widget's type, title, chart, and grid position.

Instructions

Get a dashboard with its widgets and their positions. Shows a dashboard's name, description, sharing settings, owner and each widget's id, type, title, the chart it shows and its grid position. Use it to find widget ids for dashboards_remove_widget and dashboards_data, and to see the current widgets before dashboards_update. Returns JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDashboard ID. Find it with dashboards_list.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.37

TDQS

A4.4/5.0
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 genuinely useful behavior beyond that — it enumerates the returned fields (name, description, sharing settings, owner, per-widget id/type/title/chart/grid position) and states the format is JSON, which matters given there is no output schema.

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?

Front-loaded with the core action, then return contents, then usage routing. Dense but every clause carries information; the field enumeration is slightly long but justified by the absence of an output schema.

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?

For a read tool with no output schema, the description compensates by describing the return payload in detail and routing to consuming siblings. Nothing an agent needs to call and interpret 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% and the single `id` param already documents itself ('Find it with dashboards_list'). The description adds no syntax or format detail beyond the schema, 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?

Specific verb+resource (get a dashboard) with scope explicit — 'with its widgets and their positions' — which distinguishes it from dashboards_list and dashboards_mine without opening either schema. An agent can tell exactly what it retrieves.

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 names two downstream siblings that consume widget ids (`dashboards_remove_widget`, `dashboards_data`) and the pre-update read pattern for `dashboards_update`. This is textbook when-to-use guidance tied to concrete alternatives.

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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