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detect_media_silence

Analyzes source audio of clips using ffmpeg to detect silence mapped to timeline time. Reads actual media files for accurate silence detection instead of XML heuristics.

Instructions

Detect REAL silence by analyzing each clip's source audio with ffmpeg silencedetect, mapped into timeline time. Unlike detect_silence_candidates (XML-only heuristics), this reads the actual media files referenced by the timeline. Requires ffmpeg; clips whose media is missing or unreadable are reported, not failed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filepathYesPath to FCPXML file
noise_dbNoSilence threshold in dBFS, -120 to 0 (default -30)
clip_nameNoOnly analyze the clip with this name
min_silenceNoMinimum silence duration in seconds to report (default 0.5)
Behavior4/5

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

With no annotations, description reveals it reads actual media files via ffmpeg, requires ffmpeg, and handles missing/unreadable media gracefully. Could be more explicit about read-only nature, but sufficient for safety.

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?

Two sentences, front-loaded with core purpose, no wasted words. Every sentence adds value.

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?

Tool has no output schema, and description lacks explicit mention of return format (e.g., list of silence ranges). However, core usage and behavior are sufficiently covered, and output can be inferred from purpose.

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?

Schema description coverage is 100% for all 4 parameters. Description adds no new per-parameter meaning beyond what schema already provides, so baseline score of 3 is appropriate.

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?

Description clearly states the tool detects silence by analyzing source audio via ffmpeg silencedetect, and distinguishes it from sibling detect_silence_candidates which uses XML-only heuristics.

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

Usage Guidelines5/5

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

Explicitly contrasts with sibling tool detect_silence_candidates, explains when to use this tool (actual media analysis) and notes requirement for ffmpeg and graceful handling of missing media.

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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