map_palette_to_semantics

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

No annotations are present, so the description carries full burden. It reveals that output can be written to disk and mentions merge/split strategies, but lacks details on potential destructive actions (e.g., file overwrite behavior, backup, or rollback). Some behavioral info is present but incomplete.

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, each providing critical information: the core mapping function, built-in presets, and file output capabilities. No redundant or vague phrasing. Front-loaded with the main purpose.

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 9 parameters and no output schema, the description should cover return format when not writing to disk, error conditions, or a high-level mapping process. It does not explain the inline output structure or prerequisites (e.g., palette must come from generate_palette). Functional but leaves research questions.

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% (baseline 3). The description adds value by explaining presets for light/dark modes, the ability to write to disk as an alternative to inline output, and the merge/split strategies. This goes beyond the bare schema descriptions.

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: mapping generated palette scales to semantic tokens. It mentions configurable rules, built-in presets for light/dark modes, and file output capabilities. This distinguishes it from siblings like generate_palette (generates palette) and transform_tokens (general token transformation).

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?

No explicit when-to-use or when-not-to-use guidance is provided. The description implies use after palette generation but doesn't compare to alternatives like transform_tokens or analyze_coverage. The context of many sibling tools makes this gap more significant.

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