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penny_deliver_release

Deliver a release (single, album, EP, podcast episodes, spoken word, audiobook chapters) to PENNY. Tracks are pulled server-side from public Google Drive or Dropbox share links (https) — nothing uploads from the agent. contentOrigin is REQUIRED and permanent (Pillar 2 transparency): AI_GEN, HYBRID, or ORGANIC. Tracks without an ISRC receive a sequential PENNY house ISRC automatically at finalize. Free until the window closes; no exclusivity; the creator keeps all rights. Returns releaseId and live status.

Input Schema

NameRequiredDescriptionDefault
genreNoe.g. Metal, Podcast, Spoken Word, Audiobook
labelNo
titleYesRelease title
artistYesArtist / show / author name
tracksYes
releaseRefNoYour stable release id (optional — defaults to a slug of artist + title)
releaseDateNoYYYY-MM-DD
contentOriginYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that tracks are pulled server-side from public share links (nothing uploads from the agent), that contentOrigin is required and permanent, that missing ISRCs are auto-assigned at finalize, and that delivery is free with no exclusivity and retained rights. It omits auth/permission requirements and rate limits, which keeps it from a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose and accepted release types are front-loaded in the first sentence, followed by tightly packed disclosures about sourcing, contentOrigin, ISRC handling, and returns. Every sentence carries distinct, non-redundant information with no filler.

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?

For an 8-parameter mutation tool with no output schema and no annotations, the description covers sourcing mechanics, required fields, ISRC behavior, rights terms, and the return payload (releaseId and live status). Missing only operational concerns like permissions/limits, so it is nearly but not fully complete.

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 63%, and the description meaningfully supplements it: contentOrigin is called out as REQUIRED and permanent with its enum values, sourceUrl is constrained to public https share links, and the ISRC auto-assignment behavior for the tracks array is explained. It adds real semantics beyond the field descriptions.

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 (Deliver) and resource (a release) and enumerates the release kinds it accepts (single, album, EP, podcast episodes, spoken word, audiobook). It is clearly distinguishable from the sibling tools, which are status/key/info utilities rather than a delivery action.

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

Usage Guidelines3/5

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

The description implies context (free window, returns releaseId and live status) but never states when to use this tool versus penny_delivery_status or penny_platform_info, nor any preconditions for calling it. Usage is inferable but not spelled out.

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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