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khglynn

io.github.khglynn/spotify-bulk-actions-mcp

batch_search_tracks

Search multiple Spotify tracks at once and receive confidence scores to categorize matches: HIGH, MEDIUM, LOW, or NOT FOUND.

Instructions

Search for multiple tracks with confidence scoring.

Categorizes results:

  • HIGH (>= 90%): Safe to auto-add

  • MEDIUM (70-89%): Should review

  • LOW (< 70%): Needs attention

  • NOT FOUND: No results

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
songsYesList of {"title": "...", "artist": "..."} dicts
delay_secondsNoDelay between API calls (default 0.2s for rate limiting)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full burden. It discloses confidence scoring categories but does not mention other behaviors like rate limiting, error handling, or API call frequency. The delay_seconds parameter is described in schema but not in the main description.

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

Conciseness5/5

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

The description is extremely concise with two sentences and a clear list. It front-loads the main action and uses efficient structure. Every sentence provides value without redundancy.

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

Completeness4/5

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

Given the existence of an output schema and the tool's complexity, the description is fairly complete: it explains the main purpose and categorization. However, it could mention handling of failures or partial results for completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description does not add new semantics to parameters; the schema already describes songs as dicts with title/artist and delay_seconds. The confidence categories relate to output, not input parameters.

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 clearly states the tool searches for multiple tracks with confidence scoring, which is a specific verb-resource combination. It distinguishes from sibling tools like search_track or search_track_fuzzy by focusing on batch search and categorization, though explicit differentiation is missing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for batch search with confidence-based categorization, but does not provide explicit guidance on when to use this tool over alternatives or when not to use it. The categorization hints at post-search actions but lacks direct usage instructions.

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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