Heritage Palette Evolution

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

Annotations indicate readOnlyHint=true, which aligns with the description of generating a non-mutating report. The description adds behavioral context beyond annotations by detailing the process (identifying, scoring, filling gaps) and listing output components, which helps the agent understand what to expect.

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 concise at four sentences, front-loaded with the main action, and avoids fluff. It could be more structured (e.g., bullet points), but efficiency is good.

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 full schema coverage and presence of an output schema, the description adequately covers the tool's functionality. It mentions return values (palette, confidence scores, CSS tokens, production notes) but omits edge cases or error scenarios. Still, it is sufficient for an AI agent.

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%, so the baseline is 3. The description adds minimal extra meaning for parameters, mostly echoing schema descriptions (e.g., 'legacy palette' vs 'Existing hex values'). No parameter-specific enrichment beyond the overall process.

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: given a legacy palette, it generates an archive-grounded system. It details specific actions (identify, name, score, detect gaps, fill) and distinguishes from siblings like palette_generate or palette_concept by focusing on historical grounding.

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 when a legacy palette exists and archive grounding is desired, but it lacks explicit when-not-to-use or alternative tool mentions. The precondition (legacy palette) is stated, but no exclusions or sibling comparisons are provided.

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