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mcp_opendaw_analyze_stereo

Read-only

Analyze stereo width, L/R balance, phase correlation, and mono compatibility of a WAV file to guide mix decisions on stereo field balance.

Instructions

Stereo analysis of audio — width, L/R balance, mono compatibility, mid/side energy.

Analyzes the stereo field of a track:

  • stereo_width: Side/Mid RMS ratio (0 = mono, 0.5+ = wide, 1.0 = hard panned)

  • lr_balance: L/R energy difference (-1 = fully left, 0 = centered, +1 = fully right)

  • phase_correlation: -1 to +1 (+1 = mono safe, 0 = uncorrelated, -1 = out of phase)

  • mono_compatible: True if phase correlation > 0 (collapses to mono without cancellation)

  • phase_issues_pct: % of samples where L and R have opposite polarity

  • Per-region width: low (<250Hz), mid (250-4000Hz), high (4000+Hz) Helps identify if stereo width is well-distributed or concentrated in one region

Mix decision guidance:

  • stereo_width < 0.1 → narrow/mono mix, consider widening

  • stereo_width > 0.8 → very wide, check mono compatibility

  • phase_correlation < 0 → phase issues, will cancel in mono

  • lr_balance > 0.2 → right-heavy, consider rebalancing

  • lr_balance < -0.2 → left-heavy, consider rebalancing

  • Low-freq width > 0.3 → bass is wide (usually undesirable, keep bass mono)

Args: filename: Name of the WAV file in the exports directory (without path), or absolute path to any WAV file.

Returns stereo descriptors, per-region width, and mix suggestions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filenameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the description adds value by detailing behavioral aspects (returns metrics, per-region width, mix suggestions) and does not contradict annotations.

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 well-structured with a summary, metric details, mix guidance, and args list. While somewhat long, every section adds unique value; a slight trim could improve conciseness.

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?

Given the presence of an output schema, the description appropriately covers parameter usage and metric interpretation, though it could mention prerequisites like file existence. Overall, it is comprehensive for a read-only analysis tool.

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?

With 0% schema description coverage, the description fully explains the filename parameter, including valid paths and constraints ('Name of the WAV file in the exports directory (without path), or absolute path to any WAV file'), adding essential meaning beyond the schema.

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?

The description explicitly states 'Stereo analysis of audio — width, L/R balance, mono compatibility, mid/side energy' and lists specific metrics, clearly distinguishing this tool from sibling analysis tools like analyze_phase and analyze_dynamics.

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?

The description provides detailed 'Mix decision guidance' explaining when to use based on metric thresholds (e.g., stereo_width < 0.1 → narrow mix), but does not explicitly compare with sibling tools or state when not to use.

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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