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Cut silences

cut_silences

PROJECT-SCOPED: this call acts only on the explicit project_id and returns the project identity with its result. ONE-CALL silence trim — THE tool for 'cut the silences' / 'tighten this up' / 'remove the dead air'. Cuts every detected pause at least min_silence_s long (default 0.5s), keeping padding_s (default 0.12s) of breathing room around speech and snapping to word edges so no word is clipped. Do this in one call instead of many cut_range calls; then get_kept_transcript to verify. If at least half of the gaps contain audible material and the pass would remove 25%+ of the program, it refuses without changing the EDL. Set allow_nonquiet=true ONLY when the user explicitly permits discarding those non-speaking music/game/room-performance moments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
padding_sNo
project_idYesRequired immutable scope for this call. Copy the id from list_projects/open_project/project_state; the active-project pointer is never used to guess.
min_silence_sNo
allow_nonquietNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A5/5.0
Behavior5/5

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

Despite annotations being sparse (all false), the description fully discloses behavior: trimming mechanics (min_silence_s, padding_s), word-edge snapping to avoid clipping, refusal logic (>=50% audible gaps and 25%+ removal), and the requirement to set allow_nonquiet only with user permission. No contradiction with annotations.

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?

Every sentence earns its place. Key scoping and single-call positioning are front-loaded, defaults are given inline, and the safety guardrails are stated without redundancy. Dense but efficiently organized.

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

Completeness5/5

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

For a tool with 4 params, no output schema, and important failure/refusal behavior, the description covers everything an agent needs: scope, defaults, edge-case refusal, and the recommended verification step. Nothing critical is missing.

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

Parameters5/5

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

Schema coverage is only 25% (only project_id described), but the description compensates by explaining min_silence_s (default 0.5s), padding_s (default 0.12s), and allow_nonquiet (permission gating). It adds semantic meaning beyond the raw schema, which is exactly what's needed at low coverage.

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?

Clearly states it cuts silences in a project with a specific verb+resource. Explicitly distinguishes itself from cut_range ('Do this in one call instead of many cut_range calls') and identifies itself as 'THE tool' for silence trimming, making it unmistakable among siblings.

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?

Provides explicit when-to-use guidance: the intended use case ('cut the silences', 'tighten this up'), the alternative (cut_range) to avoid, and the follow-up verification tool (get_kept_transcript). Also specifies the condition for allow_nonquiet and the refusal conditions. No guesswork needed.

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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