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labelgrid

LabelGrid MCP Server

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List reference data

list_reference_data
Read-only

Retrieve a LabelGrid reference dataset by type to obtain valid IDs and codes for genres, languages, contributors, instruments, outlets, or territories before creating or updating releases or tracks.

Instructions

Fetch a LabelGrid reference dataset used to resolve the IDs and codes that catalog and release tools expect. Pick ONE dataset with type: genres and genre_categories (values for primary/secondary/tertiary genre IDs), languages (audio and metadata language codes), contributor_roles (valid role names for track contributors), instruments, distro_outlets (the distribution outlets/stores available to your account), or territories (country/territory codes). Call this before creating or updating a release or track when you need a valid ID or code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes
Behavior4/5

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

Description adds behavioral context beyond annotations (readOnlyHint=true) by explaining the datasets' purpose and linking to other tools. No contradiction with annotations.

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?

Two sentences, no redundancy, front-loaded with primary action. Every sentence adds value.

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?

Description covers usage context, value semantics, and relationship to other tools. Lacks explicit mention of return format, but tool is simple and return is implied.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 1 parameter with enum values; description fully explains each value's meaning and context (e.g., 'genres and genre_categories for primary/secondary/tertiary genre IDs'). Compensates for 0% schema description coverage.

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?

Description uses specific verb 'Fetch' and resource 'reference dataset', clearly stating the function. It lists the exact datasets and distinguishes from sibling tools by specifying that it provides IDs and codes for catalog and release tools.

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 call: 'before creating or updating a release or track when you need a valid ID or code.' Provides clear context but does not explicitly mention when not to use it or alternative tools.

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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