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volkan-m
by volkan-m

vnc_ocr_region

Extract text from any defined screen area using OCR. Provide x, y, width, and height coordinates to read text only from that region.

Instructions

Extract text from a specific region using OCR

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
xYes
yYes
langNoeng
widthYes
heightYes
Behavior2/5

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

With no annotations, the description is the sole source of behavioral transparency. It discloses that the tool performs OCR on a region, but it does not mention coordinate system, return format, performance considerations, or non-destructive nature. This leaves significant behavioral ambiguity.

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?

The description is a single, front-loaded sentence that wastes no words. It clearly states the action and object without unnecessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 5 parameters, no output schema, and no annotations, so the description must carry more weight. It explains the core purpose but omits critical context such as what the OCR output looks like, whether coordinates are screen-absolute, and how the language parameter affects behavior. This is insufficient for a tool with this complexity.

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

Parameters2/5

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

Schema description coverage is 0% and the description adds little param semantics. 'Specific region' vaguely implies x, y, width, height define a region, but there is no explanation of units, coordinate origin, or the meaning of the optional 'lang' parameter beyond the schema's default.

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 extracts text from a specific region using OCR, with a specific verb ('Extract') and resource ('text from a region'). Among the sibling tools, none offer OCR functionality, so this is well differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like vnc_screenshot or vnc_find_image. The description only states what it does, not the context or conditions in which it should be chosen.

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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