qr_module_analysis

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

No annotations are provided, so the description carries full transparency burden. It details specific behavioral traits: examines modules for color variation, non-uniform grayscale, deviations from pure black/white, and links to LSB stego or watermarking. It does not cover return format or side effects, but the anomaly list is sufficiently informative.

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 two sentences with zero wasted words. It leads with the action, lists specific anomalies, and ends with the purpose (stego/watermarking). Every sentence earns its place.

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?

Given the complexity of module-level analysis and the absence of an output schema, the description covers the tool's input (QR image with threshold), detailed anomalies, and high-level purpose. It could be more complete by mentioning the output format (e.g., a report of anomalies), but it provides enough context for an agent to decide invocation.

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?

Schema coverage is 100% with both parameters having descriptions (file_path and threshold). The tool description does not add new parameter information beyond the schema; it contextualizes the analysis but not the parameters themselves. Baseline 3 applies as the schema covers the parameters adequately.

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 uses specific verbs ('Examines individual modules') and clearly identifies the resource (QR code modules) and the anomalies sought (sub-pixel anomalies, color variation, LSB stego). It distinguishes from sibling tools like qr_detect and qr_compare by focusing on module-level pixel inspection.

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?

The description implies usage for stego/watermark detection but does not explicitly state when to use this tool versus alternatives (e.g., qr_compare, img_lsb_detect). No when-not or alternative guidance is provided, leaving the agent to infer context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.