Skip to main content
Glama

remove_background

Remove image backgrounds using AI to create transparent PNGs. Process images by uploading files for automated background removal.

Instructions

Remove the background from an image using AI. Returns a transparent PNG.

Free tool — 3 uses/day without an account. Unlimited with a PixelPanda API token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
output_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: it's a free tool with rate limits (3 uses/day without account), requires an API token for unlimited use, and returns a transparent PNG. It doesn't mention error handling or performance, but covers essential usage constraints.

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 front-loaded with the core purpose in the first sentence, followed by usage details in the second. Both sentences earn their place by providing critical information without waste, making it efficient and well-structured.

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

Completeness5/5

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

Given the tool's moderate complexity (AI-based background removal), no annotations, and an output schema (implied by 'Returns a transparent PNG'), the description is complete enough. It covers purpose, behavioral constraints, and output, leaving parameter details to the schema and not needing to explain return values further.

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?

The schema description coverage is 0%, so the description must compensate, but it adds no information about parameters beyond what the schema provides (file_path and output_path). The baseline is 3 because the schema covers the parameters adequately, though the description doesn't enhance understanding of their semantics.

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 specific action ('Remove the background from an image using AI') and the resource ('image'), distinguishing it from siblings like 'make_transparent' (which might be more general) or 'crop_image' (which crops rather than removing backgrounds). The mention of AI further clarifies the method.

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 provides clear context for usage by stating it's a 'Free tool — 3 uses/day without an account. Unlimited with a PixelPanda API token,' which helps determine when to use based on rate limits and authentication needs. However, it doesn't explicitly compare to alternatives like 'make_transparent' or state when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/RyanKramer/pixelpanda-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server