Palette Match Impl

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

No annotations are provided, so the description carries the full burden. It does disclose non-obvious behavior — register auto-detection, learned preference penalties, endorsement-tier sorting — but omits whether the operation has side effects, how penalties are sourced/updated, or determinism across calls.

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?

Two tight sentences, zero filler, and the core purpose is front-loaded before the secondary behavioral detail. Every clause carries information.

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?

An output schema exists so return values need not be explained, and the ranking behavior is described. But undocumented parameters and absent sibling routing leave the definition only minimally sufficient for a tool embedded in a large, undifferentiated family.

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 0% across three parameters. The description implies the 'brief' input but adds no syntax or format guidance, and says nothing about 'limit' (result count, default 6) or 'no_flags' (which controls penalty behavior). With coverage below 50%, the description should compensate and does not.

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?

States a specific verb ('Rank') and resource ('89-palette evidence library') for a natural-language brief, which is more informative than a tautology. However, in a family of 13 palette_* siblings it does not name or contrast with any alternative (e.g. palette_score_impl or palette_semantic_impl), leaving differentiation to inference.

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 says what the tool does but never states when to use it, when not to, or which sibling to prefer for a given task. With a dozen competing palette tools, no routing guidance is a real gap.

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