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generate_image

Generate AI images from text prompts. Returns a PNG URL with automatic $0.25 USDC payment on Base mainnet.

Instructions

Generate a standard AI image from a text prompt. Returns a PNG image URL. Costs $0.25 USDC on Base mainnet — paid automatically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesText description of the image to generate
aspectNoAspect ratio — 1:1 (default), 16:9, 9:16, 4:3
affiliate_idNoOptional Pyrimid affiliate ID. Affiliate earns a commission from within the listed price — no extra cost to you.
Behavior3/5

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

With no annotations provided, the description carries the full disclosure burden. It reveals the output format (PNG image URL), cost ($0.25 USDC), and automatic payment, which are valuable behavioral traits. However, it omits details like authorization requirements, rate limits, error behavior on invalid prompts, or confirmation of the default aspect ratio.

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 two succinct sentences with front-loaded purpose. No unnecessary words: first sentence states the action, second covers output and cost. Every sentence earns its place, and the structure is efficient for quick agent parsing.

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 the tool's simplicity (3 parameters, no output schema), the description covers the key aspects: what it does, output format, and cost. It lacks an explicit default for aspect ratio (though likely '1:1') and does not clarify that affiliate_id is optional, but these are minor gaps. The cost disclosure is particularly valuable for agent decision-making.

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?

Schema coverage is 100%, with all three parameters described in the schema. The description adds no further param-specific details beyond what the schema provides. Baseline 3 is appropriate; the description does not enhance understanding of parameters but also does not miss critical information.

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 explicitly states 'Generate a standard AI image from a text prompt', clearly identifying the verb (generate) and resource (standard AI image). The term 'standard' distinguishes it from sibling tools generate_clean, generate_hd, and generate_pro, which likely offer different quality levels.

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?

The description does not provide explicit guidance on when to use this tool versus its siblings (e.g., generate_hd for higher quality). The cost mention ($0.25) implies a pricing consideration, but no direct comparison or when-not-to-use advice is given. Usage context is only implied by the word 'standard'.

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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