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Glama

Vizzy — Arabic AI Creative Platform

generate_music

Generate an original music track — Arabic, Egyptian, or any genre. Returns a public audio URL. Takes 2-4 minutes to generate. ⚠️ Costs 160 credits — confirm with the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
styleNoGenre/style (e.g. 'arabic pop', 'cinematic orchestral', 'lo-fi', 'oriental', 'electronic')
topicYesTheme of the music (e.g. 'موسيقى رمضانية هادئة', 'upbeat Egyptian pop for a product launch', 'cinematic ambient for a luxury brand')
languageNoLanguage for lyrics if vocal (default: arabic)
instrumentalNoTrue = music only (default), False = include vocals
extra_instructionsNoMood, tempo, instruments (e.g. 'عود وكمان، إيقاع بطيء وهادئ')

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It does so exceptionally well by stating the expected latency (2-4 minutes), the cost (160 credits), the need for user confirmation, and the output type (public audio URL). It also implies the tool is generative and not a retrieval of existing tracks. This is transparent and helps the agent set expectations with the user.

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: three sentences clearly separating purpose, output, and process considerations. It front-loads the core purpose, then returns URL, then latency and cost. No word is wasted, and all information is essential for the agent's decision-making.

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?

Given five parameters with full schema coverage and no output schema, the description covers the key contextual points: what it does, what it returns, how long it takes, and its cost. It could have added a default behavior (e.g., 'defaults to Arabic/English' or 'if no style specified, uses a generic style'), but the schema already defines defaults for language and instrumental. The missing default for style is a minor gap, but the overall context is sufficient for an agent to invoke the tool appropriately.

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 already provides 100% coverage with detailed descriptions and examples for all five parameters. The description adds little beyond reiterating that the genre is flexible (e.g., Arabic, Egyptian) and highlighting the output/time/cost, which are not parameter-specific. Since the schema already documents parameters thoroughly, the description's extra value here is minimal, aligning with the baseline of 3.

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 tool's purpose: generating an original music track, with explicit mention of genres (Arabic, Egyptian, any genre). It also specifies the output (public audio URL) and distinguishes itself from sibling tools, none of which generate music. The verb 'generate' and resource 'music track' are specific and unambiguous.

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 gives clear context for when to use the tool (when a music track is needed) and includes a crucial usage guideline: confirm with the user because it costs credits. Although no explicit alternatives are named, the absence of any similar sibling tool and the clear scope of music generation provide adequate guidance. The cost warning effectively tells the agent to use it judiciously.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have clear, distinct purposes: content generation (create_design, generate_document, generate_music, generate_video), strategic planning (ads_analysis, marketing_ideas, media_spending), and social media content (linkedin_post, youtube_ideas, write_copy). Slight overlap exists between 'write_copy' and 'linkedin_post' (both text) and 'ads_analysis' vs 'marketing_ideas', but descriptions clarify the scope.

Naming Consistency3/5

The naming convention is mixed: some tools use verb_noun (create_design, generate_document, generate_video, write_copy), while others are noun_noun (ads_analysis, content_calendar, linkedin_post, marketing_ideas) or a bare verb (suggest). This pattern is readable but not fully consistent.

Tool Count5/5

With 13 tools, the platform covers a broad set of creative and marketing functions without feeling bloated. Each tool addresses a different content type or strategy aspect, and the count is appropriate for the stated purpose.

Completeness5/5

The tool surface covers the full lifecycle of a marketing campaign, from strategy (ads_analysis, marketing_ideas, media_spending) to content creation (copy, design, video, music, documents) to social media distribution (LinkedIn, YouTube, post ideas). Minor gaps like social media scheduling or advanced image editing exist but are not critical for the core creative workflow.

Resources