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prepare_music_session

Prepare a validated, provider-neutral music session packet from creative briefs, styles, lyrics, and constraints, without API calls, credit authorization, or audio generation.

Instructions

Prepare a validated provider-neutral music packet; no API calls, credit authorization or audio verdict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYes
styleYes
engineYes
lyricsYes
work_idYes
sectionsNo
budget_usdYes
candidatesYes
duration_sYes
instrumentalYes
artist_profile_refYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

B3.1/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden, and it does disclose real behavioral facts: no network calls, no credit spend, no audio evaluation — i.e. a pure local validation step. It stops short of stating what validation runs, whether anything is persisted, or how invalid input is reported, which matters for a 10-required-param tool.

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?

A single front-loaded sentence that separates what the tool does from what it does not, with no filler. Every clause carries information.

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

Completeness2/5

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

For a tool with 11 parameters, 10 of them required, no annotations, no output schema, and zero schema descriptions, this one-liner is far too thin. The agent knows the tool's scope but nothing about the inputs it must supply or what it receives back.

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

Parameters1/5

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

Schema description coverage is 0% across 11 parameters, and the description compensates for none of it. Constraints like the owner/engine enums, the 1-8 candidate range, the USD budget semantics, and the role of 'artist_profile_ref' versus 'work_id' are entirely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb ('prepare') and a named artifact ('validated provider-neutral music packet'), and it defines the boundary of the operation by listing what it does not do. 'Music packet' is internal jargon, but no sibling (map_music_dna, build_style_field, suggest_keywords, analyze_intent, match_top_patterns) plausibly covers the same ground, so an agent can still route here correctly.

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 exclusions ('no API calls, credit authorization or audio verdict') implicitly tell the agent this is the pre-execution, zero-cost preparation step, which is useful routing context. However, it names no alternative tool, states no preconditions, and never says what to do with the packet afterwards.

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