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create_profile_picture

Transform images into profile pictures by cropping them into circles, squares, or rounded shapes with customizable sizing options.

Instructions

Create a profile picture from an image. Shape: circle, square, or rounded.

Free tool — runs locally, no account needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
sizeNo
shapeNocircle
output_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses key behavioral traits: it's free, runs locally, and requires no account, which helps the agent understand cost, execution environment, and authentication needs. However, it lacks details on rate limits, error handling, or what happens if the input image is invalid, leaving gaps in behavioral context.

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 appropriately sized and front-loaded: the first sentence states the core purpose, the second adds shape details, and the third provides behavioral context. Every sentence earns its place with no wasted words, making it efficient and easy to parse.

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 moderate complexity (4 parameters, no annotations, but has an output schema), the description is reasonably complete. It covers purpose, shape options, and key behavioral traits (free, local, no account). Since an output schema exists, it doesn't need to explain return values. However, it could better address parameter semantics and usage guidelines to be fully comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions shape options (circle, square, or rounded), which adds meaning beyond the schema's generic 'shape' parameter. However, it doesn't explain the other three parameters (file_path, size, output_path), leaving their semantics unclear. With 4 parameters and only one partially covered, this is insufficient.

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 purpose: 'Create a profile picture from an image' with specific shape options (circle, square, or rounded). It uses a specific verb ('create') and resource ('profile picture'), distinguishing it from siblings like 'add_border' or 'crop_image' which modify images differently. However, it doesn't explicitly differentiate from 'round_corners' which might have 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by mentioning it's a 'Free tool — runs locally, no account needed,' suggesting it's suitable for local processing without authentication. However, it doesn't provide explicit guidance on when to use this tool versus alternatives like 'round_corners' or 'crop_image' for similar tasks, nor does it mention prerequisites or exclusions.

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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