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extract_qc_notes_from_markers

Extract quality control notes from colored timeline clip markers and write them to the clip's metadata field for review.

Instructions

Extract QC notes from timeline clip markers and write to clip metadata.

Iterates all video tracks on the current timeline, finds markers of the specified color on each clip, formats them as '[timecode] marker_name', and writes the combined text to the 'QC Notes' metadata field on the corresponding MediaPoolItem.

Args: marker_color: The marker color to extract (default: Yellow).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marker_colorNoYellow

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the iteration over tracks, marker color filtering, formatting, and writing to metadata. However, it does not address side effects like overwriting or appending to existing QC Notes, error handling for missing clips or markers, or performance implications. The behavior is adequately described but has gaps.

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

Conciseness4/5

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

The description is front-loaded with the purpose in the first sentence. It is structured with an overview paragraph followed by an Args section. While moderately concise, it could be slightly tighter (e.g., removing the Args section or merging the default into the overview). Overall, it is clear and organized.

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

Completeness4/5

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

The description covers the main workflow: iterating tracks, finding markers, formatting, writing to metadata. It also explains the parameter and its default. Although the output schema exists (not shown in description), the description does not reference the return value. Given the tool's moderate complexity, the description is fairly complete but could mention what the tool returns (e.g., number of clips updated).

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

Parameters4/5

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

The input schema has one parameter (marker_color) with a default but no description. The tool description compensates by explaining the parameter's role and default value ('The marker color to extract (default: Yellow)'). Since schema description coverage is 0%, the description adds meaningful semantic value beyond the schema.

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

Purpose5/5

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

The description clearly states the tool's action with a specific verb-resource combination: 'Extract QC notes from timeline clip markers and write to clip metadata.' It details the process (iterates all video tracks, finds markers of specified color, formats as '[timecode] marker_name', writes to 'QC Notes' field) and distinguishes it from sibling tools like add_clip_marker, get_clip_markers, and delete_clip_marker, which perform different operations.

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

Usage Guidelines3/5

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

The description provides a detailed explanation of what the tool does but lacks explicit guidance on when to use it versus alternatives. There are no prerequisites, when-not-to-use conditions, or references to sibling tools. Usage is implied through the description, but no explicit context is given for selecting this tool over others.

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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