get_album_tracksList all tracks on a TheAudioDB album by its idAlbum (as returned by search_album). Returns each track id, title, track number, duration in milliseconds, genre, and music-video URL when available.
| Name | Required | Description | Default |
|---|---|---|---|
| album_id | Yes | TheAudioDB idAlbum, e.g. "2109615". |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description details the return fields (id, title, track number, duration in milliseconds, genre, music-video URL) and confirms it lists all tracks, aligning with annotations (readOnlyHint, idempotentHint). No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with every word earning its place. It is appropriately concise for a simple tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complete schema coverage, informative annotations, and clear description of return values, the description is fully complete for an agent to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% for the single parameter. The description adds meaning by noting that the album ID comes from 'search_album', providing context beyond the schema's simple description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'List' and resource 'tracks', and clearly states the input parameter 'idAlbum'. It distinguishes from sibling tools like 'search_album' by specifying the input source.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context: use this tool after obtaining an album ID from 'search_album'. However, it does not explicitly mention when not to use it or provide alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tool families blur together: ask_pipeworx, ask_pipeworx_beta (currently identical by admission), ask_pipeworx_grounded, and deep_research all route to the same 5,721 tools, and the six polymarket tools (arbitrage, edges, edge_tracker, fill_risk, kalshi_spread, bet_research) heavily overlap on prediction-market analysis. The descriptions are verbose but an agent would struggle to reliably pick the right one without reading thousands of words.
All names are snake_case, but conventions vary: verb_noun (get_artist, search_album, list_subscriptions), noun-first (polymarket_edges, entity_profile, recent_alerts), bare verbs (remember, forget, recall, subscribe), and vendor prefixes (pipeworx_*, polymarket_*). More importantly, the server is named Theaudiodb yet almost none of the tool names reflect music, making the naming misleading about the server's actual scope.
35 tools is over the threshold for a well-scoped server, and the sprawl is severe: 4 music tools, roughly 20 data-research tools, 6 prediction-market tools, memory utilities, subscription management, npm scanning, and AI-visibility checks. This is not one coherent server but several servers' tool sets bolted together, with no unifying purpose that justifies the count.
For a server named Theaudiodb, coverage is thin: search_artist, search_album, get_artist, and get_album_tracks exist, but there is no search_track, no get_album metadata by ID (only its tracks), no trending/browse-by-genre, and get_artist requires an ID only obtainable by searching first. Meanwhile the 31 non-music tools suggest the real domain is actually Pipeworx data research, making the overall surface feel like an incoherent mix where neither domain is fully covered.