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nobulart

octane-mcp

by nobulart

octane_suggest_camera_fix

Suggests a camera patch from preview QA output and asset bounds to fix visual issues.

Instructions

Suggest a camera patch from preview QA output and asset bounds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asset_boundsYes
preview_reviewYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

No annotations are provided, so the description carries full burden. It does not disclose behavioral traits such as whether the tool is read-only, destructive, or requires certain permissions. The verb 'suggest' implies no modification, but this is not explicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is concise but severely under-specified. It lacks critical context that would make it useful for an AI agent to decide when and how to use the tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (nested objects, no annotations, no param descriptions), the description is far from complete. It does not explain return values, prerequisites, or the nature of a 'camera patch'. Even with an output schema, the description fails to provide sufficient context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

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 explain the structure or expected fields of the two object parameters (preview_review, asset_bounds). The description only names them without adding meaningful detail beyond the parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Suggest' and resource 'camera patch', and mentions inputs 'preview QA output and asset bounds'. It differentiates from sibling tools like octane_set_camera (direct setting) and octane_suggest_lighting_fix (lighting fix). However, the exact meaning of 'camera patch' is not elaborated, so it's not perfectly clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs. alternatives. It does not mention prerequisites, context, or when not to use it. The description only states what it does, not when it should be chosen over other tools.

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

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