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chrischall

setlist-mcp

by chrischall

setlist_resolve_concerts

Read-only

Resolve up to 24 concerts to their setlists in one call, returning best-match setlist data and a summary of matched, stub, and unmatched results.

Instructions

Resolve many concerts to their setlists in ONE call (instead of 2+ per show). Given up to 24 {artist, date, city?, venue?}, returns the best-match setlist for each — {setlistId, url, eventDate, artist, venue, city, tour, songCount, hasSongs} — plus a {matched, stubs, tourReferenced, unmatched, pending, errored} summary. For each: searches artist + date (narrowed by your city/venue), and on a miss falls back to a relevance artist lookup (by mbid) and a punctuation-normalized name so format variants still resolve. hasSongs: false flags an empty stub page (no songs logged on setlist.fm). When a show is a stub, if the act toured a repeating set the result also includes a tourReference — a populated setlist from the SAME tour on a different date (with songs + its own url), clearly labeled as a reference, NOT this exact show (set tourFallback: false to skip these extra lookups). Calls are paced to setlist.fm's ~2 req/sec limit; if a big batch can't finish within the time budget the rest come back pending: true (re-call with just those) rather than timing out. A concert whose lookup fails upstream comes back with match: null and an error message (counted in errored) while the rest of the batch still resolves — re-call with just those. Keep batches ≤24. Results include a setlist.fm url; when you present this data, cite it as a clickable source link to setlist.fm (their API terms require followable attribution — no nofollow). If a result has no url, link to https://www.setlist.fm instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
concertsYesConcerts to resolve (1–24 per call)
tourFallbackNoFor empty stubs, also fetch a same-tour reference setlist (default true). Set false to skip the extra lookups.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.1.2
    • addedInput schema / properties / concerts / items / properties / date / pattern
      Added value: +"^\\d{4}-\\d{2}-\\d{2}$"
  2. Changed1 schema field changedv1.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  3. Addedv0.7.0

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only declare readOnlyHint=true, so the description carries the burden of behavioral disclosure and meets it richly. It reveals pacing to setlist.fm's ~2 req/sec limit, the timeout fallback that returns pending:true instead of timing out, partial-failure isolation (errored items don't block the rest), the tourReference fallback semantics, and the attribution requirement (followable link, no nofollow). No contradiction with readOnlyHint.

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 main purpose is front-loaded in the opening sentence, and the flow is logical: purpose → input/output → resolution logic → fallback behavior → rate limiting/timeout → error handling → batching limit → attribution. It is long, but given the tool's genuine complexity (batch resolution, fallback lookups, partial failures), most sentences earn their place. It's on the verbose edge, so not a 5.

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?

There is no output schema, so the description must explain return values and it does so thoroughly: each result field (setlistId, url, eventDate, hasSongs, etc.), the summary object (matched, stubs, tourReferenced, unmatched, pending, errored), the hasSongs:false stub flag, the tourReference structure, and the match:null/error failure shape. For a tool this complex, nothing an agent needs to call and interpret it 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?

Schema coverage is 100%, so the baseline is 3. The description goes beyond the schema by explaining how parameters alter behavior: city/venue narrow the search, and tourFallback's meaning is expanded well beyond its one-line schema note (same-tour reference setlist on a different date, labeled NOT the exact show). This added behavioral semantics justifies a 4.

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 first sentence states a specific verb+resource ('Resolve many concerts to their setlists') and immediately frames it against the alternative of doing 2+ calls per show, distinguishing this batched tool from the single-lookup siblings (get_setlist, get_artist_setlists) without needing to open their schemas. The input and output shapes are spelled out concretely.

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 explicit operational rules: keep batches ≤24, re-call with pending/errored items rather than letting them fail, and optionally set tourFallback: false to skip extra lookups. It contrasts with doing multiple single calls ('instead of 2+ per show'), though it never names a specific sibling tool as the alternative, which keeps it at a 4 rather than a 5.

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