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davinci_smart_ingest

Converts 10-bit HEVC and HEIC media to DaVinci-compatible formats, then automates chunked import into Resolve for reliable ingestion.

Instructions

High-performance smart ingestion for raw footage:

  1. Transcodes 10-bit HEVC (which shows as audio-only in DaVinci Free) to 8-bit H.264 MP4 using hardware GPU acceleration.

  2. Converts Apple HEIC photos to high-resolution JPEG.

  3. Automates DaVinci Resolve File Open Dialog in chunks to import all prepared media reliably.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chunk_sizeNo
max_videosNo
folder_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions using hardware GPU acceleration and automating file dialogs, but does not disclose side effects such as whether original files are preserved, or any potential system impacts. Transparency is moderate but incomplete.

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 succinct, well-structured list of three bullet points. It conveys the core functionality without unnecessary verbosity or repetition.

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 main processing steps but does not mention the return value or output format, even though an output schema is indicated as present. It also omits error handling, prerequisites, or any caveats. For a multi-step tool, this is a noticeable gap.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It does not explicitly explain each parameter. While folder_path is self-explanatory from its name, chunk_size and max_videos are not described in detail, and the description only vaguely mentions 'in chunks' without connecting it to the parameter.

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 core purpose: high-performance smart ingestion for raw footage, with specific actions like transcoding HEVC to H.264, converting HEIC to JPEG, and automating file dialog in chunks. It uses specific verbs and distinguishes itself from generic import tools.

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 implies the use case (raw footage needing transcoding/conversion) but does not explicitly state when to use this tool over alternatives like davinci_import_media or davinci_import_audio. No conditions or contrast with siblings are provided.

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