get_color_stats

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

With no annotations, the description carries full burden. It discloses key behavioral traits: 'Flattens the sprite (non-destructively) and histograms the frame.' It also describes the return format (JSON with unique color count, opaque pixel count, top colors). This provides sufficient transparency for an AI to understand side effects and output.

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: a one-sentence overview, a usage hint, then an args list, and return description. Every sentence adds value, and the format is front-loaded. It is concise without sacrificing clarity.

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 3 parameters, no output schema, and no annotations, the description covers purpose, usage, parameters, and return. It explains the tool's operation and expected outcome completely for an analysis tool. No gaps remain.

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 schema has 0% coverage, so the description must compensate. It provides an 'Args' section explaining each parameter: filename, frame_index (default 1), top (default 16). This adds significant meaning beyond the raw schema, making parameter semantics crystal clear.

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: 'Report the colors used in a frame and how often each appears.' It uses a specific verb (report) and resource (colors in a frame), and distinguishes itself from siblings by focusing on color histogram analysis rather than palette extraction or other operations.

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 gives a concrete use case: 'Use to check palette discipline: too many near-duplicate colors is a common pixel-art mistake.' It implies when to use but does not explicitly mention when not to use or alternatives. However, the context is clear enough for an AI to decide.

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