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qr_detect

Analyzes QR code images to detect hidden data by examining pixel patterns, color variations, and value distributions for steganographic techniques.

Instructions

Detect steganography in QR code images. Analyzes the image for unusual pixel patterns around data modules, checks for sub-module color variations, and measures pixel value distributions that could indicate LSB embedding or other stego techniques applied to a QR code image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesPath to QR code image file
thresholdNoBlack/white threshold (0-255, default: 128)
Behavior3/5

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

The description details the analysis techniques (pixel patterns, sub-module color variations, LSB detection) but does not explicitly state whether the tool is read-only or if it modifies the file. Without annotations, this is a moderate gap.

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?

Three sentences, no redundancy. The first sentence states the core purpose, followed by specific methods. Concise and front-loaded without wasted words.

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

Completeness3/5

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

The description explains detection techniques but omits output behavior (e.g., returns a score, boolean, or report). No output schema exists, so the description should hint at the return format. This is a notable gap for a detection tool.

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 covers both parameters with descriptions (100% coverage). The tool description adds no extra meaning beyond what the schema provides, meeting the baseline expectation.

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 steganography in QR code images, with specific analysis methods. It distinguishes from sibling tools like qr_data_extract or qr_structure by focusing on stego techniques rather than structure or data extraction.

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 on when to use this tool vs alternatives. The description does not mention prerequisites, when to avoid, or context for using other QR-related tools among the many siblings.

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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