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generate_melody

Generate melody sequences from musical scales and root notes using algorithmic composition. Specify scale, root note, and length to create patterns for music production.

Instructions

Generate melody from scale

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scaleYesScale name
rootYesRoot note
lengthNoNumber of notes
Behavior2/5

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 but offers minimal information. It doesn't describe what the output looks like (e.g., MIDI, notes list), whether it's deterministic or random, performance implications, or error conditions. This is inadequate for a generation tool with zero annotation coverage.

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 just three words, front-loading the core action. There's no wasted text, making it easy to parse quickly, though this brevity contributes to gaps in other dimensions.

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

Completeness2/5

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

Given the complexity of melody generation, no annotations, and no output schema, the description is incomplete. It fails to explain what the tool returns, how melodies are structured, or any behavioral traits, leaving significant gaps for an AI agent to use it effectively.

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?

The input schema has 100% description coverage, clearly documenting 'scale', 'root', and 'length' parameters. The description adds no additional meaning beyond what the schema provides, such as examples of scale names or constraints on length. Baseline 3 is appropriate since the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Generate melody from scale' states a clear purpose with a verb ('generate') and resource ('melody'), but it's vague about what constitutes a melody and how it differs from sibling tools like 'generate_pattern' or 'generate_bassline'. It doesn't specify if this generates random melodies, follows certain patterns, or outputs in a particular format.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as 'generate_pattern' or 'generate_bassline'. The description lacks context about prerequisites, typical use cases, or exclusions, leaving the agent to infer usage from the tool name alone.

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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