apply_dither_pattern

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the dither algorithm and density range but fails to mention that the operation modifies the file directly, whether it is destructive (overwrites existing pixels), or what happens if the layer or frame is missing (despite having create_if_missing, no explanation of behavior when false). No return value or side effects are described.

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 well-structured with a concise summary followed by a bullet list of parameters. It is front-loaded with the key purpose. However, it is slightly verbose (e.g., 'Aseprite file to modify' could be shortened). Overall, 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?

Given the tool has 11 parameters, no output schema, and no annotations, the description covers parameter semantics and algorithm details but lacks completeness in behavioral aspects (e.g., what happens on invalid input, error conditions, whether it creates a new cel or edits in place, and the exact return format). It is adequate but not exhaustive.

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?

The input schema has 0% description coverage (only titles). The description compensates by providing an Args section with brief but clear explanations for all 11 parameters, including default values for density and create_if_missing, and specifying that colors are hex. This adds significant semantic meaning beyond the schema.

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: 'Fill a rectangle with a uniform Bayer-dithered mix of two colors.' It specifies the verb (fill), resource (rectangle), and algorithm (Bayer dither), distinguishing it from sibling tools like apply_dither_gradient or apply_gradient_rect.

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 mentions use cases ('useful for textures (stone, grass) and flat mid-tones between two palette colors'), implying when to use it, but does not explicitly state when not to use it or suggest alternatives among the many sibling tools. The guidance is implicit rather than prescriptive.

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