octane_suggest_lighting_fix

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

No annotations are provided, so the description must disclose behavioral traits. It does not state whether the tool is read-only, modifies state, requires permissions, or has side effects. The description is insufficient for an agent to understand the tool's impact.

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 single sentence is concise, but it lacks essential information about parameters and behavior. Conciseness is about efficient communication, and here it under-informs, so it scores average.

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 the lack of schema description, no annotations, and a complex nested input parameter, the description is severely incomplete. The output schema exists but is not referenced, and the agent cannot properly invoke the tool without more details.

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%, and the description does not mention the 'preview_review' parameter at all. The agent gets no additional meaning beyond the schema schema, which is minimal for a nested object type.

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 verb 'suggest' and the resource 'lighting/render patch', with source 'preview QA output'. It distinguishes from sibling tools like octane_set_lighting by indicating it uses QA output to suggest fixes, though 'patch' is somewhat vague.

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 guidance on when to use this tool versus alternatives like octane_set_lighting or octane_create_light. It implies use after preview QA but doesn't state when not to use it or provide any contextual conditions.

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