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detect_barcodes

Detect 1D and 2D barcodes in images and retrieve their pixel bounding boxes for further processing.

Instructions

Detect 1D barcodes (EAN, UPC, Code 128/39, etc.) and 2D codes (QR, DataMatrix, PDF417) in an image. Returns deterministic pixel bounding boxes for each detected code. Requires pyzbar + zbar library.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
allowed_typesNo
min_confidenceNo
Behavior3/5

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

With no annotations, the description carries the burden. It discloses that the tool returns 'deterministic pixel bounding boxes' and requires 'pyzbar + zbar library', adding useful behavioral context. However, it lacks details on permissions, side effects (e.g., file modification), or network usage.

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 three sentences, concise, and front-loaded with the primary action. Every sentence adds value without redundancy.

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?

Given the complexity (multiple barcode types, three parameters) and no output schema, the description is insufficient. It does not explain parameter behavior or output structure beyond bounding boxes. A complete description would include parameter roles and output format.

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

Parameters1/5

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

Schema description coverage is 0%. The description does not explain any parameters (path, allowed_types, min_confidence). The schema provides names and types without further meaning, and the description adds no value for parameter understanding.

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 detects 1D (EAN, UPC, Code 128/39) and 2D (QR, DataMatrix, PDF417) barcodes in an image. The verb 'Detect' and the resource are explicit, and it distinguishes from sibling 'detect_text_regions' which handles text.

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?

The description provides no guidance on when to use this tool versus alternatives or any prerequisites. It does not mention conditions, performance considerations, or when not to use it.

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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