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davinci_inspect_ui

Capture a micro-crop around specified coordinates and analyze waveform and visual contrast telemetry for informed color grading adjustments.

Instructions

Captures a micro-crop region around (x, y) and analyzes waveform / visual contrast telemetry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
xYes
yYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose whether the operation is read-only, if it has side effects, or if it requires any permissions. It only mentions capturing and analyzing, leaving behavioral aspects unclear.

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

Conciseness5/5

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

The description is a single, concise sentence that efficiently communicates the tool's function. It is well-structured and easy to parse.

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

Completeness3/5

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

The description covers the core action but does not mention expected output, return value, or any prerequisites. For a simple inspection tool, this may be sufficient, but it could be more complete.

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

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description explains that x and y define the center of the crop region, providing some semantic meaning beyond the raw integer types. However, it lacks details on units, coordinate system, or valid ranges.

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 clearly states the tool captures a micro-crop region and analyzes waveform/visual contrast, which differentiates it from sibling tools like transport or adjustment. However, it could be more explicit about the intended use case.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus alternatives. It does not mention any conditions or scenarios that would favor this tool.

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