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generate_lyrics

Write song lyrics from a theme or brief, returning the title and text for review or editing before generating music.

Instructions

Write song lyrics from a theme/description (Mureka) — returns text, not audio.

Synchronous: returns immediately with the lyrics so an agent can read/review or edit them before spending song credits, then pass them to generate_music(lyrics=...). Great for getting the words right first, or generating lyrics on their own.

Args: prompt: The theme/brief ("a hopeful song about starting over in a new city").

Returns: {"title": ..., "lyrics": ...} or {"error": ...}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
Behavior4/5

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

With no annotations, the description carries the full burden, and it delivers: it discloses synchronous behavior, returns immediately, returns text not audio, and includes the return format. It adds practical insights about reviewing/editing before spending credits and error handling. However, it does not mention any potential cost implication for the lyrics generation itself or rate limits, which are minor for such a simple tool but keep it from a perfect score.

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 concise and well-structured: first the core purpose, then the synchronous/usage rationale, then the Args and Returns sections. Every sentence adds important information, with no redundancy or fluff. It is front-loaded with the most essential details.

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

Completeness5/5

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

For a simple tool with one parameter and no output schema, the description is remarkably complete. It covers purpose, behavior, parameter semantics, return format, and even workflow guidance with a sibling. The context is fully sufficient for an agent to invoke this tool correctly without additional research.

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

Parameters5/5

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

The schema only provides the parameter name 'prompt' and type 'string', which is minimal. The description compensates with a clear semantics: 'The theme/brief' and a concrete example ('a hopeful song about starting over in a new city'). This fully clarifies what the parameter expects, adding significant value over the schema.

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 opens with a specific verb and resource: 'Write song lyrics from a theme/description (Mureka)'. It immediately distinguishes itself from siblings like generate_music by clarifying 'returns text, not audio', and further differentiates by mentioning the synchronous, credit-aware workflow. This makes the tool's purpose unmistakable.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool: 'before spending song credits' and 'Great for getting the words right first'. It also names the alternative, generate_music, and explains how to pass the generated lyrics to it, giving clear usage context and exclusions. This is exemplary guidance for an agent.

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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