Skip to main content
Glama

resolve_tighten_silence

Remove dead air from talking-head and podcast timelines by detecting long silences across mic tracks and cutting them into a new timeline, keeping all tracks and markers in sync.

Instructions

Remove dead air from a talking-head/podcast timeline into a NEW timeline (dry-run by default). A pause is cut only where every enabled mic track is quiet for longer than min_silence_seconds; keep_pause_seconds of room stays at each side. All tracks are cut together, so cameras and mics stay in sync; timeline markers in kept time move with the edit. Needs ffmpeg. tracks="all" (default) carries every video/audio track, keeping mics and cameras in sync; tracks="spine" carries only the spine track (A1 by default).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tracksNoall
dry_runNo
detect_onNocarried
audio_streamNo
open_variantNo
threshold_dbNo
carry_markersNo
min_keep_secondsNo
spine_track_typeNoaudio
new_timeline_nameNo
spine_track_indexNo
keep_pause_secondsNo
min_silence_secondsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.2.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it does a solid job: it explains the silence-detection condition, the keep_pause_seconds margin, multi-track sync, marker behavior, and the ffmpeg dependency. It stops short of stating return values or how open_variant/detect_on alter execution, but the core behavioral contract is transparent.

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 information-dense but well organized: purpose first, then the cutting rule, then sync behavior, then the ffmpeg requirement, then the tracks options. Every sentence earns its place, and nothing important to the core workflow is buried or padded.

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?

For a 13-parameter tool with no annotations and no output schema, this description is more complete than average but still leaves gaps: several parameters are undefined, return values are unspecified, and the relationship to resolve_detect_silence is not clarified. It gives enough to run the default behavior correctly but not enough to tune advanced options with confidence.

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 explains tracks, min_silence_seconds, keep_pause_seconds, dry_run, and new_timeline_name, but 8 of 13 parameters—detect_on, audio_stream, open_variant, threshold_db, carry_markers, min_keep_seconds, spine_track_type, and spine_track_index—receive no semantic explanation. An agent cannot confidently reason about threshold_db or detect_on from this text.

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 opens with a specific verb and resource: 'Remove dead air from a talking-head/podcast timeline.' It also adds key scope details—output goes into a NEW timeline, dry-run by default, and all tracks cut together—so it is immediately distinguishable from siblings like resolve_detect_silence, which only detects silence.

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?

It clearly indicates when to use the tool ('Remove dead air') and notes a prerequisite ('Needs ffmpeg'), but it never mentions alternatives or when not to use it. In a large sibling set with resolve_detect_silence and resolve_build_cut_variant, explicit routing guidance would make the intended use case much clearer.

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

Deploy Server

Other Tools