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calebn
by calebn

strip_silence_tool

Remove silent gaps from podcast audio tracks by detecting speech islands and rebuilding the track from those segments.

Instructions

Rebuild a track from speech islands between detected silences.

use_inaudible_opt is accepted for API compatibility but ignored.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
speakerNo
track_idNo
project_pathYes
threshold_dbNo
min_duration_secNo
use_inaudible_optNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It does disclose that use_inaudible_opt is ignored, which is useful, but it does not say whether rebuilding is destructive, requires an existing track, mutates project state, or what happens to gaps. This is a significant gap for a transformation tool.

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 compact and front-loaded: the core purpose is in the first sentence, and the compatibility caveat is the only additional sentence. There is no filler or redundant restatement of the tool name.

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

Completeness2/5

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

For a six-parameter transformation tool with no annotations, this is under-specified. It lacks usage context, side-effect warnings, prerequisites, and tie-in to the broader cutting/stripping workflow. While an output schema exists, the description still does not tell an agent enough to safely invoke the operation.

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 for explaining parameters. It only clarifies use_inaudible_opt; the meanings and interactions of speaker, track_id, threshold_db, and min_duration_sec are left to inference from their names. The phrase 'speech islands between detected silences' hints at threshold/min_duration semantics but does not explain them.

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

Purpose4/5

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: 'Rebuild a track from speech islands between detected silences.' This clearly conveys what the tool does and distinguishes it from sibling cut/ripple tools by its silence-detection mechanism. It is not a full 5 because it never explicitly contrasts it with any sibling or explains whether 'rebuild' creates a new track or modifies an existing one.

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

Usage Guidelines2/5

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

There is no guidance about when to use this tool instead of related siblings such as cut_time_range_tool, shorten_gaps_tool, or ripple_delete_tool. The operation is implied by the name and one-line description, but no conditions, prerequisites, or exclusions are stated.

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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