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poddubnyoleg

Lightdash MCP Server

by poddubnyoleg

list-explores

Browse the project catalog to list all available tables and explores, with descriptions and SQL references. Use this for initial discovery before fetching detailed field schemas.

Instructions

List all available explores/tables in the project catalog.

Returns a catalog of all tables/explores organized by project and dataset:

  • Explore/table names

  • Table descriptions

  • SQL table references

When to use:

  • To discover what tables/explores are available in the project

  • To browse the data catalog and find relevant tables by description

  • Before using get-explore-schema to get detailed field information

Best practice: Use this for initial discovery to find table names, then use get-explore-schema for detailed dimensions, metrics, and joins.

Note: This can return large amounts of data for projects with many explores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_uuidNoOptional: UUID of the project. If not provided, uses current project.
Behavior4/5

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

No annotations provided, so description carries full burden. It notes potential for large data return, which is a key behavioral trait. Describes it as a catalog listing, implying read-only, but doesn't explicitly confirm no side effects.

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?

Well-structured with sections, bullet points, and clear headings. Every sentence adds value. Front-loaded with purpose. No wasted words.

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?

Covers purpose, when to use, and a behavioral note. Given one optional parameter and no output schema, the description is sufficient. Could mention authentication or error cases, but not necessary for core understanding.

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 optional parameter. Description restates the schema description ('Optional: UUID of the project. If not provided, uses current project.') without adding new semantic value. 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 'List all available explores/tables in the project catalog' and enumerates returned content (names, descriptions, SQL references). It distinguishes from sibling tools like get-explore-schema by indicating that list-explores is for initial discovery.

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 states when to use: for discovery, browsing catalog, before using get-explore-schema. Includes best practice. Does not explicitly state when not to use, but context is clear enough.

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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