Skip to main content
Glama
poddubnyoleg

Lightdash MCP Server

by poddubnyoleg

get-chart-details

Retrieve complete configuration and metadata of a saved chart, including visualization, query, and table settings.

Instructions

Get detailed information about a specific saved chart.

Returns complete chart configuration including:

  • Chart type and visualization settings (eChartsConfig)

  • Metric query configuration (dimensions, metrics, filters, sorts)

  • Table configuration (column order, conditional formatting)

  • Metadata (name, description, space, timestamps)

When to use:

  • Before modifying or duplicating a chart

  • To understand how a chart is configured

  • To extract query logic for reuse

  • To debug chart issues

Accepts: Either chart UUID or chart name (will search for exact match)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chart_identifierYesChart name (exact match) or UUID to look up
Behavior3/5

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

No annotations provided, so description carries burden. States return categories and that it accepts UUID or name with exact match. Lacks explicit statement that it is read-only or details on error handling/performance, but adequately describes the operation's scope.

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?

Concise, well-structured with bullet points and headings. Every sentence adds value, no 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?

For a read operation with no output schema, the description covers key return categories (chart config, metrics, table config, metadata). Could add more detail on response structure, but sufficient for agent to understand what to expect.

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 coverage is 100% with one parameter clearly described. Description adds 'will search for exact match' nuance, but schema already explains the parameter. Baseline 3 is appropriate.

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 'Get detailed information about a specific saved chart' and lists specific return categories, distinguishing it from sibling tools like get-dashboard-tile-chart-config.

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?

Explicitly listed 'When to use' bullet points (before modifying, understanding config, extracting query logic, debugging). No explicit when-not-to-use or alternative tools mentioned, but the guidance is clear and actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/poddubnyoleg/lightdash_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server