img_channel_analysis

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

With no annotations, the description carries full behavioral burden. It indicates the tool is read-only ('reports') and processes each channel individually, but does not detail handling of missing channels, file size limits, or side effects. It adds basic context but is not exhaustive.

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: first states the purpose, second lists outputs. Front-loaded and without extraneous words. Every sentence adds value.

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?

For a simple tool with one parameter and no output schema, the description adequately explains the analysis performed and the statistics computed. It is missing details on output format and error conditions, but given the low complexity, it is nearly complete.

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% (file_path described as 'Path to image file'). The description does not add further parameter semantics, such as accepted formats or handling of non-image files. Baseline of 3 applies per rule.

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 performs per-channel statistical analysis for R, G, B, and A channels and lists the reported statistics (mean, std, entropy, min, max, unique count). This verb+resource combination is specific and distinguishes it from sibling tools like img_histogram or img_entropy_map.

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 lacks any guidance on when to use this tool vs. alternatives such as img_histogram or img_bitplane. It does not mention explicit conditions for its use or exclude cases like grayscale images.

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