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Doseedo: Film Scoring, AI Instruments, Sound Effects & Stems

Import a DAW project

doseedo_import_project

Open an uploaded DAW project (Logic .logicx.zip, Ableton .als or project zip, FL .flp, REAPER .rpp, Pro Tools .ptx — zip the folder) as an EDITABLE doseedo session: returns a session_id the session tools then work on (doseedo_get_session → doseedo_edit_session → doseedo_download_session as a native Logic project, or convert that download to another DAW with doseedo_convert_project). The session gets the project's tempo (+ tempo map), meter, markers, and every track with its name, mixer level/pan, color and MIDI notes. AUDIO IS NOT CARRIED: the import reads the project, not its media — audio tracks arrive named and positioned (audio.placements lists each clip's file and beats) and audio.next says how to supply the files. Plugins and summing buses are reported, not recreated. Upload first with doseedo_get_project_upload_url; this call parses the project (seconds to minutes for a big one) — if it answers status:"running", call it again with the returned task_id until it hands back session_id.

Input Schema

NameRequiredDescriptionDefault
dawNoThe source DAW, when the filename does not say (optional; detected otherwise).
nameNoSession name (default: the project's own name).
task_idNoCONTINUATION: the task_id a previous call returned while the parse was still running.
project_keyNoR2 key of the uploaded project (from doseedo_get_project_upload_url; starts with "uploads/").

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Goes well beyond annotations: reveals what is carried (tempo map, meter, markers, track mixer state, MIDI notes), what is NOT carried (audio media), how audio is surfaced (audio.placements, audio.next), that plugins/buses are reported not recreated, and that parsing takes seconds to minutes with a status:'running' continuation. This is unusually rich behavioral disclosure for a mutation tool.

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?

Dense and front-loaded with the core action and return value first, then caveats about audio and plugins, then the upload/polling prerequisites. Long sentences with stacked parentheticals make it slightly harder to scan, but every clause carries real information.

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 still explains return values (session_id, status:'running', task_id, audio.placements/audio.next), prerequisites (prior upload), and processing latency. For a four-parameter tool with a multi-step async flow, nothing an agent needs to invoke it correctly is missing.

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 the baseline is 3; the description earns extra by explaining that project_key originates from doseedo_get_project_upload_url and by describing the task_id continuation loop in operational terms (re-call until session_id is returned). It does not add much about daw/name 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?

States a specific verb and resource ('Open an uploaded DAW project ... as an EDITABLE doseedo session'), enumerates supported formats, and names what it produces (session_id). It is clearly distinguishable from siblings like doseedo_convert_project or doseedo_create_session.

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 to upload first with doseedo_get_project_upload_url, and names the downstream flow (get_session → edit_session → download_session) plus the alternative for other DAWs (doseedo_convert_project). It also gives the continuation rule for task_id polling, so when/when-again is fully prescribed.

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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