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audio_events

Read-only

Split audio into distinct sound events and describe each with timing, level, attack, tone, brightness, pitch, and glide; reports spacing and pitch sequence.

Instructions

Split the audio into distinct sound events (hits, notes, words/syllables, SFX layers) and describe each: start/end, level, attack, tonal vs noisy, brightness, pitch and pitch glide. as_text gives one line per event, e.g. "0.52-0.81s | -14dB | tonal | bright | A5 glide -12st | sharp attack". Also reports spacing regularity and the sequence of pitches. The threshold adapts to the background level; set threshold_db (dBFS) to override. split_on_onsets=false keeps continuous sounds (e.g. a sentence) as one event.

Input Schema

NameRequiredDescriptionDefault
endNo
pathYes
startNo
threshold_dbNo
split_on_onsetsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely useful behavior beyond that: an adaptive threshold that adjusts to background level, an example output line format, and mention of spacing regularity and pitch sequences. Not exhaustive (no cost/limit notes) but well above the annotation baseline.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the core action and the returned attributes, then folds parameter behavior into the same tight paragraph with a concrete example line. Dense but every sentence carries information; only the stray 'as_text' reference adds mild confusion.

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?

With no output schema, the description carries the return-value burden and does so convincingly via the attribute list, example line, and regularity/pitch reporting. The remaining gap is undocumented start/end semantics on a 5-parameter tool, a minor omission given the otherwise rich output description.

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?

With 0% schema description coverage, the description must compensate and it partially does: threshold_db (dBFS override) and split_on_onsets are explained with their effect. But path, start, and end are never described, and 'as_text' is referenced as if it were a parameter though it does not appear in the schema, so half the parameters remain semantically opaque.

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?

States a specific verb+resource ('split the audio into distinct sound events') and enumerates the per-event attributes produced, so the agent knows exactly what it yields. It does not explicitly differentiate itself from near siblings like audio_melody or audio_analyze, which limits it below a 5.

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?

Offers conditional guidance for two parameters (override threshold_db; set split_on_onsets=false to keep continuous sounds as one event), which implies usage contexts. However, it never states when to pick this tool over alternatives such as audio_melody or audio_analyze, so routing is left to inference.

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