Skip to main content
Glama

Doseedo Film Score: spot a video, play your score on AI instruments, mix it to picture

Check a take against its notes

doseedo_check_take

MEASURE a take instead of guessing: give the audio (a render_midi take URL, any recording) and the notes it should play — notes[] + bpm (and tempo_map) or a midi_url — and get back how many written notes were heard at the right pitch and time (recall / precision / f1, octave errors, the first missed notes with their beats), the timing error in ms, loudness (integrated LUFS, peak dBFS, clipped share), any stretch where a note was written but nothing sounds, and a verdict (good / check / bad) with reasons in plain words. doseedo_render_midi results already carry this per take (takes[].check) when the part was given as notes. Method: an independent note transcriber (basic-pitch) — dense chords and very fast runs read less reliably; use it as a screen, and listen to anything marked check. Synchronous (~3–15 s), CPU, no credits. Cancel: not applicable — the result is returned in the submit response; the job is already finished.

Input Schema

NameRequiredDescriptionDefault
bpmNoTempo of the notes (or tempo_map).
notesNoThe notes the take should play, in beats from bar 1 (the rows you sent doseedo_render_midi).
midi_urlNoAlternative to notes: the part as a Standard MIDI File (≤ 2 MiB).
audio_keyNoR2 ingest key of an uploaded audio file (from doseedo_get_upload_url / POST /api/upload/r2/ingest-url; starts with "ingest/"). Alternative to audio_url.
audio_urlNoThe take: a doseedo result URL as returned, or any public https URL.
tempo_mapNoTempo changes [{beat, bpm}].
instrumentNoThe instrument (a drum/percussion name switches to onset-only matching).
time_signatureNoMeter (default 4/4).
idempotency_keyNoOptional. Any unique string for THIS request (e.g. a UUID). Re-sending the same call with the same key after a timeout returns the same job instead of starting a second one.
onset_tolerance_msNoHow far a heard onset may be from the written one and still count (default 50).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Adds real context beyond annotations: synchronous ~3–15 s, CPU-bound, no credits, cancel not applicable because the response is the result, and the underlying method (basic-pitch) with its failure modes (dense chords, fast runs). Annotations already cover the read/write and open-world profile, so this is above bar, though it could state auth or size constraints more explicitly.

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-loaded with the imperative and the payoff, with latency, cost, and method caveats deferred to the end. It is dense and long for a single paragraph, but nearly every clause carries information an agent needs.

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?

With no output schema, the description fully compensates by describing the return payload (metrics, first missed notes with beats, timing error, loudness, verdict with reasons). Input alternatives, runtime, cost, and accuracy limits are all covered, leaving no material gap for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3; the description earns extra by clarifying the input modes — notes[]+bpm/tempo_map versus midi_url — and that instrument names switch to onset-only matching. Defaults like onset_tolerance_ms and time_signature remain schema-only, which is fine given full coverage.

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?

Opens with a specific verb and resource ('MEASURE a take') and immediately enumerates what it returns (recall/precision/f1, octave errors, timing error, LUFS, verdict). The input requirements are stated inline, so an agent can tell this apart from siblings like doseedo_transcribe or doseedo_analyze_midi without opening the 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 says when to use it and offers an alternative: doseedo_render_midi results already carry takes[].check, so checking a rendered part is redundant. It also gives the working caveat — 'use it as a screen, and listen to anything marked check' — which tells the agent how to act on the output.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources