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verify_change

Apply one mutating REAPER command and measure before/after audio (LUFS-I, peak, stereo) to prove the change is real, reporting VERIFIED, REFUSED, or UNVERIFIED.

Instructions

Run ONE mutating bridge command with MEASURED proof: capture the track, apply the command, capture the same frozen window again (track pinned by GUID), and report audio deltas (LUFS-I always; spectrum/peak/stereo with Post Mortem). This REALLY mutates the project (undo-block wrapped; one Ctrl/Cmd+Z reverts) — confirm intent first for destructive command types (delete_track, delete_items_in_range, remove_fx). Costs TWO renders; each blocks REAPER's UI for the capture duration. Statuses: VERIFIED (deltas are real measurements); REFUSED (refused before the mutation was sent, no mutation ran); UNVERIFIED (the project MAY have changed: applied, partial batch, rejected by the bridge with a possible mid-edit partial change, or unknown outcome; not measured either way; NOT rolled back; do NOT retry blindly). Relay the status honestly; never present UNVERIFIED as success. Needs allow_audio_writes (see capture_track_audio).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trackYesExact track name (case-insensitive) or 'master'.
payloadYesThe command's payload, as for raw_command.
secondsNoCapture length 1-60 (default 10).
command_typeYesBridge command to run (set_fx_param, set_track_volume, batch, ...).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so thoroughly: it discloses that it REALLY mutates, that it is undo-block wrapped (one Ctrl/Cmd+Z reverts), that it costs TWO renders blocking the REAPER UI, and that it needs allow_audio_writes. It defines all three terminal statuses including the dangerous UNVERIFIED case (possible partial change, not rolled back).

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?

It is long, but front-loads the core mechanism and mutation warning, then the status taxonomy, with no filler sentences. Every clause conveys distinct, decision-relevant information for a genuinely complex operation, though the density is near the upper bound.

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

Completeness5/5

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

There is no output schema, so the description must explain returns — and it does, enumerating the reported audio deltas (LUFS-I always; spectrum/peak/stereo with Post Mortem) and status semantics. Given the operation's complexity and reversibility stakes, nothing an agent needs for a correct call is missing.

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 coverage is 100%, so each parameter is already documented. The description adds only light context (track pinned by GUID, payload 'as for raw_command') and does not supply syntax or format details beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

States a specific verb+resource with its distinguishing mechanism: 'Run ONE mutating bridge command with MEASURED proof' via before/after capture. This clearly differentiates it from the raw_command sibling, which applies changes without proof. An agent can select it without opening any schema.

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

Usage Guidelines5/5

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

Explicitly names when to use it (need measured proof of a mutation's effect), when to confirm intent first (destructive command types: delete_track, delete_items_in_range, remove_fx), and when NOT to retry (UNVERIFIED outcomes). It also routes to capture_track_audio for the allow_audio_writes prerequisite.

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