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Detect Audio Transients

detect_audio_transients

Find likely beat or edit-point transients from decoded audio peaks for editorial review, returning candidate timestamps without altering a timeline.

Instructions

Find probable beat or edit-point transients from decoded audio peaks. Returns candidates for editorial review; it does not claim musical beat-grid accuracy or change a timeline.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
media_pathYesExisting local audio or video file
maximum_eventsNoMaximum returned candidates from 1 through 1000 (default: 200)
threshold_dbfsNoMinimum transient peak from -60 through 0 dBFS (default: -12)
minimum_interval_secondsNoMinimum spacing from 0.05 through 10 seconds (default: 0.25)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool completed successfully.
dataNoTool-specific result data when ok is true; on failure, diagnostic detail when the tool provides it.
toolYesThe registered MCP tool name.
errorNoFailure detail when ok is false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.18.6
    • addedInput schema / additionalProperties
      Added value: +false
    • changedOutput schema / properties / data / description
      Previous value: -"Tool-specific result data when ok is true."New value: +"Tool-specific result data when ok is true; on failure, diagnostic detail when the tool provides it."
  2. Changed1 schema field changedv1.14.9
    • addedInput schema / properties / maximum_events / type
      Added value: +"integer"
  3. Addedv1.14.4

TDQS

A4.2/5.0
Behavior4/5

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

Adds real context beyond the annotations: the results are approximate candidates, not authoritative beats, and the tool does not modify a timeline. Slightly weakened by the tension with readOnlyHint=false, which hints it may still write state (e.g., caches) even though the description emphasizes non-mutation — but this is not a flat contradiction.

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 dense sentences, no filler, with the core action front-loaded and the caveats (probabilistic output, no timeline mutation) immediately after. Nothing is redundant with the title.

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?

An output schema exists so return values need not be explained, and the schema covers all four parameters. The description supplies scope and non-mutation guarantees, leaving only minor gaps such as whether results are deterministic or how they should be reviewed downstream.

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%, so media_path, maximum_events, threshold_dbfs and minimum_interval_seconds are already fully documented with ranges and defaults. The description adds no parameter-level detail, so the baseline 3 applies.

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?

Specific verb+resource ('find probable beat or edit-point transients from decoded audio peaks') with the mechanism named. It also distinguishes itself from sibling detectors like detect_beats by explicitly disclaiming musical beat-grid accuracy, so an agent can tell them apart without opening schemas.

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

Usage Guidelines4/5

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

It frames the output as 'candidates for editorial review' and rules out musical beat-grid use, implicitly routing that need to detect_beats. However, it never explicitly names an alternative tool or states the conditions under which this should be preferred over detect_beats or detect_silence.

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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