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Glama

Vizzy — Arabic AI Creative Platform

marketing_ideas

Generate creative marketing campaign ideas for the Egyptian/Arab market. Deep understanding of Ramadan, Eid, Egyptian consumer behavior, and local culture. Returns campaign concepts with hooks, channels, and content types. Costs 80 credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesBrand, product, or campaign (e.g. 'براند ملابس مصري عصري', 'F&B restaurant Ramadan campaign')
languageNoLanguage (default: arabic)
platformNoPlatform(s): instagram / tiktok / facebook / multi-platform
extra_instructionsNoTarget audience, campaign season, budget level, tone

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden. It states the return value ('campaign concepts with hooks, channels, and content types') and the cost ('Costs 80 credits'), which are important behavioral traits. It does not mention non-side-effects explicitly, but for a generative idea tool this is adequate and there is no annotation contradiction.

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 only two sentences and front-loads the core purpose. The cultural expertise phrase is somewhat promotional but relevant to the tool's value, and the credit cost disclosure is useful. No significant wasted words.

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 creative generation tool with no output schema, the description covers purpose, cultural/market scope, output shape, and pricing. It omits explicit comparison to sibling tools, but the schema and context signals provide enough surrounding detail to make the tool actionable.

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?

All four parameters are fully documented in the input schema (100% coverage), so the baseline applies. The description adds no extra parameter-level nuance, but the schema already defines topic, language, platform, and extra_instructions clearly.

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?

Description opens with the specific verb 'Generate creative marketing campaign ideas' and clearly scopes to the Egyptian/Arab market. It further distinguishes itself from siblings by focusing on campaign ideation with local cultural context, not analytics, writing, or calendar planning.

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 clearly implies when to use the tool: for culturally grounded campaign ideas, especially around Ramadan and Eid. It does not explicitly name alternative tools or when-not-to-use cases, but the market-specific focus and output type give clear context relative to siblings like ads_analysis or write_copy.

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