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Audio MIDI Feedback System

audio_midi_feedback

Monitor audio continuously and provide AI-driven learning feedback for improvement. Supports customizable monitoring duration, in-depth analysis, and optional raw audio data inclusion for enhanced MIDI device control.

Instructions

Continuous audio monitoring and intelligent learning feedback for AI improvement

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
analysis_depthNoDepth of analysis and learning feedbacklearning
include_raw_dataNoInclude raw audio samples in response
monitoring_durationNoDuration to monitor audio in milliseconds
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 burden. It vaguely mentions 'continuous monitoring' and 'intelligent learning feedback' but doesn't disclose key behavioral traits: whether it's a read-only or mutating operation, what permissions or resources it requires, if it has side effects (e.g., starting a process), rate limits, or what the output looks like. This leaves the agent guessing about the tool's behavior.

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?

The description is a single, concise sentence that's front-loaded with the core idea. There's no wasted verbiage or redundancy. However, it's overly abstract, which reduces its effectiveness despite the efficient structure.

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?

Given the tool's complexity (involving audio, MIDI, and AI feedback), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns, how the 'learning feedback' works, or the operational context. This leaves significant gaps for an agent to understand and use the tool effectively.

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 the schema already documents all three parameters with descriptions and defaults. The description adds no additional meaning about parameters beyond what's in the schema. According to the rules, with high schema coverage (>80%), the baseline is 3 even with no param info in the description.

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

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Continuous audio monitoring and intelligent learning feedback for AI improvement' is vague and abstract. It mentions 'audio monitoring' and 'feedback for AI improvement' but doesn't specify what the tool actually does (e.g., what it monitors, what feedback it provides, or how it relates to MIDI). It doesn't clearly distinguish from siblings like 'audio_analyze_realtime' or 'configure_musical_intelligence'.

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

Usage Guidelines1/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any context, prerequisites, or exclusions. Given siblings like 'audio_analyze_realtime' and 'midi_play_and_listen', there's no indication of how this tool differs or when it's appropriate.

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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