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poddubnyoleg

Lightdash MCP Server

by poddubnyoleg

list-charts

Retrieve all saved charts in a Lightdash project, with optional search by name, to get chart UUIDs, names, spaces, and descriptions for discovery and dashboard use.

Instructions

List all saved charts in the Lightdash project.

Returns chart information including:

  • Chart UUID and name

  • Space (folder) the chart belongs to

  • Description

  • Last updated timestamp

When to use:

  • To discover available charts in the project

  • To find a chart UUID for adding to dashboards or querying

  • To get an overview of what visualizations exist

  • To filter charts by name before getting details

Optional search_term: Filters the list to only charts matching the search term in their name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
search_termNoOptional: Filter charts by name (case-insensitive partial match). Example: 'revenue' will match 'Monthly Revenue Chart'
Behavior4/5

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

No annotations are provided, so the description carries full burden. It clearly states the tool is read-only and lists the information returned (UUID, name, space, description, last updated). No hidden side effects or requirements are omitted.

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 concise and well-structured: a clear first sentence, a bullet list of return information, and a dedicated 'When to use' section. Every sentence adds value.

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?

The tool is simple with one optional parameter. Despite no output schema, the description adequately lists the return fields, making it complete for an agent to use correctly.

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?

With 100% schema coverage, baseline is 3. The description adds value by providing an explicit usage example for the search_term parameter, enhancing understanding beyond the schema description.

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 purpose is crystal clear: 'List all saved charts in the Lightdash project.' It specifies the verb (list) and resource (charts) and distinguishes itself from sibling tools like 'search-charts' which likely has different functionality.

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?

Provides explicit 'When to use' bullet points covering common use cases. However, it does not explicitly state when not to use or compare to similar tools like 'search-charts', though the usage guidance is still helpful.

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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