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split_uri_list

Split delimited strings of Spotify references into a clean array using commas, semicolons, whitespace, or newlines. Converts raw input into structured data for further processing.

Instructions

Split a delimited string of Spotify references into a clean array — accepts comma, semicolon, whitespace, or newline separators; local only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listYesDelimited list of Spotify references
delimiterNoExplicit delimiter; default auto-detects ',', ';', whitespace, or newline
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses 'local only' (indicating no external API calls) and 'clean array' (implying whitespace trimming or normalization). However, it does not detail handling of empty entries, duplicate references, or validation of Spotify URI formats, which could matter in edge cases. The behavioral disclosure is adequate for a simple utility but not exhaustive.

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 a single, front-loaded sentence that states the core purpose and key behaviors without redundancy. Every element—verb, resource, separators, and locality—earns its place. It is efficient and easy to parse quickly.

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 straightforward splitting utility with full schema coverage and no output schema, the description is fairly complete. It explains what the tool does, the separators it handles, and that it operates locally. It does not detail the effect of response_format, but that is covered in the schema. Given the simplicity of the tool and the richness of the schema, the description is nearly sufficient, missing only minor edge-case disclosures that would push it to 5.

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%—all three parameters (list, delimiter, response_format) have explanatory descriptions. The tool description adds marginal value beyond the schema, such as the phrase 'clean array' hinting at output normalization, but it does not significantly enhance parameter understanding. Baseline of 3 is appropriate given full schema coverage.

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 clearly states the specific verb 'Split' and the resource 'delimited string of Spotify references', and specifies the outcome 'into a clean array'. It also enumerates accepted separators (comma, semicolon, whitespace, newline), which distinguishes it from sibling tools like join_uri_list. The purpose is unambiguous.

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?

Usage is implied: use this tool when you have a delimited string that needs splitting into an array. However, it does not provide explicit versus alternatives, such as noting that batch_parse_spotify_uris or parse_spotify_uri might be more appropriate for validation or structured parsing. No exclusions or when-not-to-use guidance is given.

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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