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batch_parse_spotify_uris

Parse up to 500 Spotify references into kind and ID components in one local pass without network calls, returning one row per input for easy processing.

Instructions

Parse a batch of Spotify references into kind/ID parts in one local pass — no network calls; one result row per input.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urisYesUp to 500 Spotify references
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states the operation is local with no network calls and guarantees one result row per input, which are useful behavioral guarantees beyond what the name or schema reveal. It does not describe invalid-input handling, but the core behavior is well covered.

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?

A single dense sentence that front-loads the action and result, with zero filler. Every phrase earns its place: 'batch', 'kind/ID parts', 'one local pass — no network calls', and 'one result row per input' are all distinct and useful.

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?

For a simple, pure parsing utility with only two well-documented parameters, the description is largely complete: it names the transformation, the batch scope, the local/no-network behavior, and the row-per-input result shape. The absence of an output schema means detail about invalid URI handling or exact row fields would improve completeness, but the core call contract is clear.

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 description coverage is 100%, so the schema already documents both parameters. The description adds no parameter-level meaning beyond restating that the input is a batch of Spotify references, which is the baseline expected when the schema is self-sufficient.

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 ('Parse'), a clear resource ('batch of Spotify references'), and the exact outcome ('kind/ID parts'). It also distinguishes itself from related siblings by emphasizing 'batch' and 'one local pass — no network calls', so an agent can tell it apart from parse_spotify_uri or validate_spotify_uri.

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 makes the intended usage context clear: batch, local, no network calls. It does not explicitly name alternatives or exclusions, such as using a single-URI parser for one reference, but the 'batch' and 'local pass' cues provide strong guidance for when this tool is appropriate.

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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