Skip to main content
Glama
graphgrow

root-ext-docs

by graphgrow

ocr_image

Read-only

Extract text from image formats (PNG, JPG, GIF, WebP, BMP, TIFF) using a local tesseract binary for offline OCR. Critical numeric values should be verified against the original image.

Instructions

OCR one image (png/jpg/gif/webp/bmp/tiff) with the LOCAL tesseract binary — needs tesseract installed and refuses by name without it; nothing reaches the network. OCR misreads numbers — verify critical values by looking at the image itself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoeng
pathYes
Behavior5/5

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

Beyond annotations (readOnlyHint=true), describes local execution, tesseract dependency, network isolation, and accuracy warnings, providing comprehensive behavioral disclosure.

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 sentences, front-loaded with core action, every sentence adds value, no wasted words.

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?

Covers file formats, local execution, dependency, and accuracy warning. Lacks output format description but acceptable for a simple OCR tool. Informs selection among siblings.

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 has 0% description coverage. Description adds meaning for 'path' by listing accepted image formats, but does not explain 'lang' parameter or provide full parameter 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 verb 'OCR' and the resource 'one image' with supported formats (png/jpg/gif/webp/bmp/tiff), distinguishing it from siblings like ocr_pdf.

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?

Provides crucial usage context (local, requires tesseract, warns about number accuracy) and implies when not to use (for PDFs), but lacks explicit alternatives or when-not-to-use statements.

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/graphgrow/root-ext-docs'

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