Skip to main content
Glama
pedra-ai

Pedra MCP Server

Official
by pedra-ai

Edit via prompt

pedra_edit_via_prompt

Edit images using natural-language instructions (e.g., 'paint walls sage green') and receive the edited image URL.

Instructions

Edit an image from a natural-language instruction (e.g. "paint the walls sage green"). Returns the edited image URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageUrlYesURL (or data: URL) of the source image.
promptYesNatural-language description of the edit to apply.
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the output type (edited image URL) but does not disclose whether edits are destructive, idempotent, or what happens on failure.

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?

Two short sentences with no filler, immediately conveying purpose and output. Every word earns its place.

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?

For a simple tool with two parameters, the description covers the core function and return value. Lacks error handling or format constraints, but is sufficient for basic use.

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 adequate descriptions. The tool description adds a natural-language instruction emphasis and an example, providing marginal value beyond the schema.

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 verb 'Edit' and resource 'image' are clear, and the example 'paint the walls sage green' distinguishes this from sibling tools like pedra_remove_object or pedra_blur by emphasizing natural-language instructions.

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 for general edits via natural language but does not explicitly state when to choose this tool over siblings like pedra_enhance or pedra_remove_object. Only an example is given.

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/pedra-ai/pedra-mcp'

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