Skip to main content
Glama
chrischall

setlist-mcp

by chrischall

setlist_resolve_concerts

Read-only

Resolve up to 24 concerts to their best-match setlists in a single call, with fallback lookups and a status summary.

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} 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. 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 changedv1.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Addedv0.7.0

TDQS

A4.7/5.0
Behavior5/5

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

Even though readOnlyHint=true already signals safety, the description discloses substantial behavior beyond the annotation: ~2 req/sec pacing, pending:true handling, the relevance-lookup and punctuation-normalization fallback chain, tourReference semantics, hasSongs:false stub flags, and the attribution/citation requirement. This is far richer than the structured annotation alone.

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?

Core purpose, input shape, and return format are front-loaded in the first sentences, and nearly every later sentence earns its place (pacing, fallbacks, attribution). It is long, and 'Keep batches ≤24' mildly duplicates the schema's maxItems, but the density is justified for a multi-path batch tool.

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 carries the full burden of explaining return values — and it does, naming every returned field and summary counter. All non-obvious behaviors (pending on time budget, tourReference labeling, no-nofollow citation rule) are covered, leaving an agent with enough to invoke and present results correctly.

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?

With 100% schema coverage the baseline is 3, but the description adds real meaning: how artist+date anchor the search, city/venue narrowing the match, the ≤24 batching constraint tied to rate limiting, and the default true for tourFallback with its cost implication (extra lookups). These details go well beyond the schema's field-level descriptions.

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 states a specific verb+resource ('Resolve many concerts to their setlists in ONE call') and immediately contrasts it with the per-show alternative, making it clearly distinct from single-lookup siblings like setlist_get_setlist or setlist_search_setlists. The return shape and summary counters further pin down exactly what the tool produces.

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?

It gives clear context: use when resolving multiple concerts at once ('instead of 2+ per show'), keep batches ≤24, and re-call with pending items rather than timing out. It also instructs how to opt out of tour-reference lookups via tourFallback: false, though it never names a specific sibling tool for when a single lookup is the better choice.

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