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generate_hd

Upscale AI-generated images to 4x resolution using a text prompt. Pay $0.20 USDC on Base mainnet per image.

Instructions

Generate an AI image upscaled to 4x resolution. Returns a high-resolution image URL. Costs $0.20 USDC on Base mainnet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesText description of the image to generate
aspectNoAspect ratio — 1:1 (default), 16:9, 9:16, 4:3
Behavior3/5

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

With no annotations provided, the description carries full behavioral burden. It discloses the upscaling factor (4x), output format (URL), and cost ($0.20 USDC on Base mainnet). However, it does not cover authentication requirements, error behavior, processing time, or any side effects beyond mutation.

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: two sentences, no wasted words. Front-loaded with the core action, followed by output and cost. Every sentence adds unique value.

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

Completeness3/5

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

Given the tool's simplicity (2 params, no output schema), the description is mostly complete but lacks some context. It does not address required authentication, typical use cases, or how this tool compares to siblings. The cost information is a plus.

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 description coverage is 100%, so the schema already fully documents both parameters. The description adds no additional meaning about how parameters affect the output (e.g., how prompt and aspect relate to the 4x upscaling). Baseline score of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the tool's action ('Generate an AI image upscaled to 4x resolution') and output ('Returns a high-resolution image URL'). It is specific and informative, but fails to distinguish from sibling tools like generate_pro or generate_clean, which could offer similar or overlapping functionality.

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 on when to use this tool versus alternatives. The description does not mention any conditions, prerequisites, or exclusions relative to sibling tools. The agent is left to infer usage from the tool name and description 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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