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rekordcloud

sonovault-mcp

Official
by rekordcloud

Bulk resolve

resolve_tracks

Resolve up to 100 track inputs to canonical metadata and cross-platform links. Supports search by ISRC, platform IDs, or artist and title.

Instructions

Resolve up to 100 inputs in one call to canonical tracks plus cross-platform links. input_type picks the key: 'track_name' (items are {artist, title} objects), 'isrc', 'sonovault_id', or a platform id type ('spotify_id', 'applemusic_id', 'tidal_id', 'beatport_id', 'discogs_id', 'musicbrainz_id'). Costs one API credit per line.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesStrings for id/isrc types; {artist, title} objects for track_name
input_typeYes
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the 100-input limit, cost per line, and input_type mapping. Missing details on error handling or response format, but provides solid behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with front-loaded purpose. The second sentence is dense but efficient, covering all parameter details without redundancy. Slightly long but earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Without an output schema, the description vaguely mentions 'canonical tracks plus cross-platform links' but lacks detail on return structure, error behavior, or partial results. For a batch tool, more completeness is needed.

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?

Schema coverage is 50%, but the description adds crucial semantics: it explains how input_type selects the key format and specifies the {artist, title} structure for 'track_name' objects, going beyond the schema's anyOf definition.

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 the tool resolves up to 100 inputs to canonical tracks and cross-platform links, using a specific verb and resource. It also explains the input_type parameter, distinguishing it from sibling tools like get_track or search_tracks.

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?

The description indicates usage for batch resolution with cost and limit details. While it doesn't explicitly state when not to use or list alternatives, the context of sibling tools and the focus on bulk resolution provide clear guidance.

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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