extract_text_from_image
Extract text from images using OCR to turn visual diagrams into process model inputs.
Instructions
Extrae texto de una imagen usando OCR.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Extract text from images using OCR to turn visual diagrams into process model inputs.
Extrae texto de una imagen usando OCR.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. The core behavior is disclosed ('using OCR', 'extract text'), but details such as how the image is provided, what the output looks like, and failure behavior are absent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. It is concise and immediately communicates the action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the low complexity, there are no annotations and no output schema to compensate. The description does not explain where the image comes from, what the extracted text is used for, or whether OCR availability is required, leaving important invocation context to inference.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is empty and has no parameters, so the description needs to explain no parameters. The high schema coverage (100%) and zero-parameter baseline make this a 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear verb and resource: 'Extraexto de una imagen usando OCR'. It is unambiguously about extracting text from an image, but it does not explicitly differentiate itself from siblings like create_process_from_image, which could also involve images.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool instead of alternatives. It does not mention prerequisites such as is_ocr_available, nor does it explain the intended workflow relationship with create_process_from_image.
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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