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alefba_read_document

Read a document from a URL and extract its text using OCR. Returns structured page data with text and bounding boxes for Persian, Arabic, and English.

Instructions

Read (OCR) a document or image from a URL. استخراج متن از سند یا تصویر با آدرس اینترنتی. By default the call blocks (wait=true) and returns the full structured result {document_url, pages:[{page_url,width,height,angle,text,parts:[...]}]} where each box is 'left top width height' in pixels. Set wait=false to queue the job and get {state, task_ids} back, then poll with alefba_get_result. type is one of general, ID-card, excel; priority is 1 (highest) to 4 (lowest). Pass an optional task_id to fetch a queued result. Optional name of the configured Alefba instance to target. Omit to use the default instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
document_urlYes
typeNogeneral
fix_orientationNo
word_positionsNo
waitNo
priorityNo
task_idNo
instanceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description details synchronous blocking behavior, returned structure, async queuing, and polling. It does not mention rate limits or authorization but discloses core behavior sufficiently for a read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core action and includes both languages, which adds length but is necessary. It efficiently covers key behaviors in a structured manner, though could be slightly more concise.

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 8 parameters, output schema, and sibling tools, the description covers sync/async modes, output structure, parameter roles, and instance targeting. Missing details on fix_orientation and word_positions, but overall complete for safe usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but description explains document_url, type, wait, priority, task_id, and instance. Missing descriptions for fix_orientation and word_positions. This adds significant meaning beyond the schema for most parameters.

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 tool's purpose: OCR from a URL, with both English and Persian text. It distinguishes from siblings like alefba_read_document_callback and alefba_read_document_upload by mentioning polling with alefba_get_result for async mode.

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 explains synchronous default behavior, async option with polling, and key parameters (type, priority, task_id, instance). It implies when to use sync vs async but does not explicitly exclude alternatives like alefba_read_document_upload for uploads.

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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