spread_noise_analysis

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

No annotations provided; description carries full burden. It explains the mechanism (uneven noise distribution detection) but does not disclose whether the tool is read-only, potential side effects, or behavior with non-image inputs. Lacks details on return format or error conditions.

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?

Three sentences; first sentence identifies purpose, rest provides technical context. No wasted words, efficient and front-loaded.

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?

No output schema, and description does not hint at return values or result structure. Missing details on image format constraints (e.g., color vs grayscale) and how block size affects analysis. Adequate but incomplete for a detection tool.

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 description coverage is 100% with clear parameter descriptions. The description does not add meaning beyond the schema, so baseline 3 applies.

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 clearly states the tool's purpose: 'Noise floor embedding detection' and explains the technique of comparing noise levels across image regions to detect spread spectrum or additive noise-based steganography. This is specific and distinguishes it from sibling tools like spread_correlation or spread_dft_analysis.

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 detecting noise-based steganography but does not explicitly state when to use this tool over other spread analysis siblings. No guidance on prerequisites or exclusion scenarios.

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