Model Exploration

Instructions

When To Use This Skill

Before ANY Honeydew work, set up your session and discover the model:

Step 0: Set workspace and branch Use get_session_workspace_and_branch to check the current session context. If no workspace/branch is set, use list_workspaces, list_workspace_branches, and set_session_workspace_and_branch to select the right workspace and branch. All subsequent tool calls use this context.

Step 1: List entities Use the list_entities MCP tool to see all entities in the model.

Step 2: Explore entity details Use the get_entity MCP tool with the relevant entity name to list its attributes, metrics, datasets, and relations.

Step 3: Search the model Use the search_model MCP tool to find specific fields, entities, or other objects by name.

Overview

Honeydew is the Semantic Layer for AI and BI. Honeydew enables a shared source of truth for data teams, providing consistency, flexibility, governance and performance. It provides metrics and attributes over data warehouse tables and views (Snowflake, Databricks, BigQuery) that have relationships defined between them. Use the Honeydew MCP tools to interact with the model.

MCP Tools

Session & Workspace

• list_workspaces - List all available workspaces. Returns the workspace name and the data warehouse type (snowflake, databricks, or bigquery). Use the warehouse type to inform SQL dialect choices in semantic model implementation.
• list_workspace_branches - List all branches available for a workspace. Requires workspace_id (the workspace name).
• get_session_workspace_and_branch - Get the workspace and branch set for the current session.
• set_session_workspace_and_branch - Set the workspace and branch to use for the current session. All subsequent tool calls use this workspace and branch. Requires workspace_id; optional branch_id (omit to use the production branch, which is the default).
• create_workspace_branch - Create a new branch for an existing workspace. The branch is created from the current state of the workspace's prod branch. The session automatically switches to the new branch. Requires workspace_id and branch_name.

Typical flow:

1. get_session_workspace_and_branch — check if a workspace/branch is already set
2. If not set: list_workspaces → pick a workspace → set_session_workspace_and_branch
3. For development work: create_workspace_branch (session switches to the new branch automatically)

Discovery

• list_entities - List all entities in the model (names, keys, descriptions)
• get_entity - Get detailed info for a specific entity (attributes, metrics, datasets, relations, YAML)
• get_field - Get detailed info for a specific field (attribute or metric) within an entity
• list_domains - List all domains with their names, descriptions, and entities
• get_domain - Get detailed info for a specific domain (entities, filters, parameters, YAML)
• search_model - Search across all model objects (entities, attributes, metrics, datasets, dynamic datasets, domains, parameters). Requires query and search_mode:
  • OR — splits by whitespace, returns objects matching any word
  • AND — splits by whitespace, returns only objects matching all words
  • EXACT — uses the full string as-is, matches name or display name exactly
  • Use entity.field syntax to scope to fields within an entity (e.g. customers.balance finds balance on entities matching customers; customers. returns all fields of matching entities)

Agents & Context

Honeydew has two layers: the semantic layer (entities, metrics, attributes, relations, domains — the data model and business logic such as metric calculations) and the context layer (agents and their associated context items — instructions, skills, knowledge, and memory — that shape how the AI analyst behaves).

• list_agents — List all agents with their names, descriptions, domains, and context references
• get_agent — Get detailed info for a specific agent (domain, context items, welcome message, sample questions)
• list_context_items — List all context items with their types, names, titles, and subtypes
• get_context_item — Get detailed info for a specific context item

Warehouse Discovery

• list_databases - List all databases in the connected data warehouse
• list_schemas - List schemas in a specific database
• list_tables - List tables in the connected data warehouse (requires database and schema parameters)
• get_table_info - Get column-level details for a specific warehouse table

Query Execution

• get_data_from_fields - Execute a query from field parameters and return data (supports limit and offset for pagination)
• get_sql_from_fields - Generate SQL from field parameters without executing