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convert

Convert any image to ASCII or braille art. Choose size, adjust contrast and gamma, or invert brightness. Works with URL or base64.

Instructions

Convert an image (URL or base64) to ASCII art. Modes: "ascii" (character ramp) or "braille" (2x4 dot grid, higher fidelity).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoImage URL to convert
base64NoBase64-encoded image data
sizeNoArt size tier: "16" (simple, default), "32" (medium), "64" (detailed)16
modeNoRender mode: "ascii" (character ramp) or "braille" (Unicode dots, 8x resolution)ascii
invertNoInvert brightness
contrastNoApply auto-contrast
gammaNoGamma correction
thresholdNoBraille mode: brightness threshold for dot activation (0-1)
Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits. It only mentions modes but omits important details like error handling, input size limits, format requirements, or whether the action is read-only. The description is insufficient for complete behavioral understanding.

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 consists of two concise sentences that convey the core functionality and modes. It is front-loaded, efficient, and every sentence serves a purpose.

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

Completeness2/5

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

Given the tool has 8 parameters and no output schema, the description is too brief. It does not explain the output format (e.g., how ASCII art is returned), potential limitations, or provide examples. This lack of context could hinder correct usage.

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% and each parameter has a description in the schema. The description adds little beyond summarizing modes, which is already in the schema. Thus it meets the baseline without adding substantial meaning.

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 converts an image to ASCII art, specifies two modes (ascii and braille), and the verb 'convert' plus resource 'image' makes the purpose unambiguous. It distinguishes from sibling tools like 'animate' or 'banner' which likely have different outputs.

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 guidance on when to use this tool versus alternatives (e.g., other image tools). It mentions two modes but no context on which mode to choose under different circumstances.

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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