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

The description discloses key behavioral traits: it reads the original brief from run metadata, calls produceVisualAsset, returns a specific asset shape, and notably 'Does NOT auto-persist back to the run.' It also explains that the caller decides whether to swap or treat as a parallel candidate. With no annotations present, this fully carries the transparency burden.

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 dense but highly efficient: each sentence serves a purpose—purpose, trigger, internal behavior, return value, and persistence caveat. The key info is front-loaded, and no words are wasted.

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 12 parameters, nested objects, and no output schema, the description adequately covers the full workflow: input lookup, processing, return shape, and side-effect behavior. The return fields are explicitly listed, and the caller's decision point is clarified, making the tool usable without further context.

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% with descriptions for all 12 parameters, so the baseline is 3. The description adds workflow context (e.g., reading the brief from run metadata, calling produceVisualAsset) but does not materially enrich individual parameter semantics beyond what the schema already provides. It mentions 'style / fidelity / headline / model' as regeneration targets, but these are already evident from 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 opens with a specific verb-resource pair: 'regenerate a single visual asset' and lists the exact adjustable dimensions (style, fidelity, headline, model). It also distinguishes this tool from siblings like chieflab_review_visual_asset by explicitly tying it to the 'Regenerate' action in the Launch Room.

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 an explicit trigger: 'USE WHEN a reviewer hits Regenerate on a launch image in the Launch Room.' It lacks an explicit when-not-to-use or alternative tool reference, but the use case is clearly scoped.

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