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Agent.ai MCP Server

by OnStartups

file_converter_image_to_text_action

Extract text from images using OCR. Converts image to a searchable PDF and extracts plain text into a .txt file.

Instructions

Extract text from an image using OCR. Chains image → PDF → OCR → plain text. Returns both a searchable PDF and a .txt file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_file_urlYesS3 or public URL of the image (JPG, PNG, TIFF, etc.).
languageNoeng
output_variable_nameYesVariable name for the result.extracted_text
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the processing chain and outputs but omits limitations, error handling, supported formats explicitly, or response characteristics.

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 efficiently convey purpose, process, and outputs. No extraneous text; every sentence adds value.

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 no output schema, the description explains return values (searchable PDF and .txt). However, it could mention how to retrieve results via output_variable_name, supported image formats, or file size constraints.

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 67% (input_file_url and output_variable_name have descriptions; language has enum but no description). The tool description adds no extra parameter meaning beyond the schema, so baseline score is appropriate.

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 'Extract text from an image using OCR' and details the chain of operations (image → PDF → OCR → plain text) and outputs (searchable PDF and .txt), distinguishing it from sibling file_converter tools.

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?

No explicit guidance on when to use this tool versus alternatives like file_converter_ocr_action. The description implies usage for OCR on images but does not specify exclusions or provide when-not criteria.

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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