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Generate Songspec

generate_songspec

Build a complete song specification from genre and optional key, mood, tempo, or length; missing values are automatically filled using AI knowledge for music production planning.

Instructions

Generate a SongSpec via Brain, filling omitted values from knowledge.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNo
moodNo
genreYes
tempoNo
length_minutesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It does disclose that the tool invokes 'Brain' and fills omitted fields, which is the core behavior. However, it does not state whether the operation is read-only, whether it persists anything, or what to expect beyond the output schema.

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 description is a single, front-loaded sentence with no filler or redundancy. It sacrifices a small amount of helpful detail, but as pure content density it is efficient.

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

Completeness3/5

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

For a five-parameter tool with no annotations, 0% schema description coverage, and an output schema, the description covers the basic generation behavior but leaves usage context and parameter semantics to inference. It is minimally viable but not enough for an agent to understand the full flow relative to siblings like create_project_from_songspec or orchestrate_song.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate for documenting the five parameters. The only parameter-related signal is the general statement that omitted values are filled from knowledge; individual parameters like key, mood, tempo, and length_minutes are not explained (e.g., key is ambiguous and tempo units are unstated).

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?

States a concrete action ('Generate a SongSpec') and adds method scope ('via Brain, filling omitted values from knowledge'). It distinguishes from obvious siblings like generate_audio or review_songspec by targeting the SongSpec artifact, but it never names an alternative or clarifies what a SongSpec is.

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 phrase 'filling omitted values' implies this tool is for completing partial song specifications, giving the agent a rough trigger condition. No explicit when-to-use / when-not-to-use guidance or alternative routing is provided, so this is implied rather than stated.

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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