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Squall Studio

Generate episode music

generate_episode_music

Generate a background music track for an episode. Requires the episode to already have an assembled video. Spends credits. Returns a job id — poll it with get_job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
episode_idYesEpisode id.
idempotency_keyYesStable key identifying this generation request. Reuse the SAME key when retrying the same request — the original job is returned and no second charge is made. Use a NEW key when you deliberately want another generation.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A5/5.0
Behavior5/5

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

Discloses important behavioral effects: spending credits and returning a job id for asynchronous completion. The readOnlyHint and destructiveHint are false, and the description accurately reflects side effects without contradicting annotations.

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 description is concise and well-structured, using two sentences to convey purpose, prerequisites, side effects, and follow-up action. No unnecessary information is included.

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?

Provides sufficient context for a caller: prerequisites, side effects, return type (job id), and follow-up polling step. Despite lacking an explicit output schema, the description covers what the caller needs to know.

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

Parameters5/5

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

Both parameters are fully described in the schema, and the description reinforces the meanings of episode_id and idempotency_key. The idempotency_key explanation is particularly clear about reuse and retry semantics.

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 clearly that the tool generates a background music track for an episode, with a specific resource and action. It also distinguishes itself from other generation tools by mentioning the episode context and job-based flow.

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?

Provides explicit usage guidance: requires the episode to already have an assembled video, mentions credit cost, and instructs to poll with get_job. This is actionable and clarifies when and how to use the tool.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools have clear, distinct purposes, but some overlap exists between get_episode_shots and list_episode_segments, and get_episode_editor vs get_episode could be confused. Overall, the generate/get/list/update families are reasonably distinguishable.

Naming Consistency4/5

The verb_noun pattern is consistently applied across generate_, get_, list_, and update_ tools. Minor deviations like get_episode_editor (which returns a tree rather than an editor) and get_asset_library (rather than list_assets) prevent a perfect score.

Tool Count2/5

With exactly 25 tools, this exceeds the 'too many' threshold of 25+ in the calibration. While the domain is complex, the count feels heavy, especially with many near-duplicate get/list variants.

Completeness2/5

The tool surface is read- and generation-heavy but lacks update operations for characters, episodes, and projects, and has no delete operations at all. This creates notable gaps in lifecycle management, though the existing read/generate coverage is substantial.

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