Skip to main content
Glama

search_music

Read-onlyIdempotent

Find AINSOF music from a written brief — mood, scene, genre, energy, instruments. Example: 'lo-fi hip hop underscore, warm, no vocals'. Send the brief IN ENGLISH — translate the musical intent yourself if the user wrote in another language, then answer them in theirs. Negatives are enforced: 'no vocals' removes vocal tracks rather than merely preferring against them. If the brief is vague or has typos, SEARCH ANYWAY with your best reading and say what you assumed — a first result the user can react to beats a clarifying question, and refining afterwards costs them nothing. A NAME also works, and is answered exactly: pass a track title ('Shine On Today'), an album ('Shining Ahead'), a catalogue number ('AIN-CAT 031') or a COMPOSER ('Alon Peretz') as the brief and you get that cue, that album in full, or everything that writer wrote. A composer named inside an ordinary brief puts their cues first without narrowing it. NEVER tell a user we do not have a track until you have passed its name here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
briefYesWhat the music should be — or the exact name of a track, album or catalogue number.
top_kNo

TDQS

A4.3/5.0
Behavior5/5

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

Beyond the readOnly/idempotent/destructive annotations, the description discloses substantial behavior: negatives are enforced, vague/typoed briefs are not rejected, assumptions will be reported, composer names flip sorting, and the tool should never claim a track is missing without first searching by subject. This is exactly the kind of non-obvious behavior an agent needs.

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 longer than the intuitive tool, but nearly every sentence affects agent behavior: language handling, search-with-assumptions policy, negatives, and the examples package. It is still somewhat-packed and prescriptive, and could be trimmed slightly while losing none of its value, so 4 is appropriate.

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?

For a search-type tool with read-only/idempotent annotations, this description covers all required call semantics: how to speak about the query, the output of exact name queries, edge cases like composer-inside-brief, and the non-obvious never-tell-not-found rule. The return format is not described, but the tool has no output schema and the purpose clearly implies a result list; nothing needed to invoke the tool correctly is missing.

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?

The schema would describe 'brief' only as text that can be an exact name, but the tool description dramatically expands that: mood/scene/genre/energy/instruments, free-form examples, translation instructions, the full range of accepted exact identifiers (track, album, catalogue number, composer), and negative search behavior. However, it does not supplement the inexplicably named 'top_k' parameter beyond the schema default of 10.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a clear, specific verb and resource: 'Find AINSOF music from a written brief—mood, scene, genre, energy, instruments'. It also covers query-by-name and composer, so an agent can tell what the tool will do. It does not explicitly contrast with siblings like find_soundtrack or search_by_reference, so despite clear purpose it stops short of a full 5.

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 gives actionable guidance: translate non-English briefs, send appréciation in user's language, treat negatives as enforced, and search anyway on vague queries rather than asking for clarification. It also explains the composer-in-brief behavior and the exact-match name paths. No alternative sibling is ever named or excluded, so there is no explicit optimal-alternative guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation3/5

search_music, find_soundtrack, and search_by_reference all discover catalogue music, and find_soundtrack overlaps with search_music for description-based requests. The long descriptions clarify the intended input type, but an agent could still reasonably pick the wrong tool when a user asks for music for a video.

Naming Consistency3/5

Most tools follow a readable verb + object pattern (analyze_video, deliver_score, get_track, get_upload_link), but others are noun phrases (cue_sheet, listen_link, feedback) or awkwardly different (about_ainsof, score_my_video). The naming is not chaotic but lacks a single consistent convention.

Tool Count5/5

With 12 tools, the set is within the well-scoped 3-15 range and each tool addresses a clear stage of the catalogue and scoring workflow: search, preview, upload, analyze, score, deliver, and feedback. No obvious filler or redundancy bloating the count.

Completeness4/5

The set covers the core lifecycle from music discovery and video analysis through scoring, delivery, and user feedback. Minor gaps exist such as no explicit browse/album listing tool, but search_music can retrieve albums and composers, so this should not cause agent failures.

Resources