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Uttera

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generate_sound_scene

Generate every event of a plan and mix them into one scene.

`plan` is the JSON that plan_sound_scene returned, edited if you want: you
can move an event, change its wording or drop it. This is the step that
costs, because each event is a generation. Needs a paid plan (Startup up).

Returns the mix. The separate pieces come back too, but only the mix can be
handed over as audio here; call the HTTP API directly if you need them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior4/5

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

The description adds meaningful behavioral context beyond the annotations: each event is a generation and therefore costs money, a paid plan is required, and only the mix is deliverable as audio here while separate pieces require the HTTP API. These details are not conveyed by readOnlyHint or destructiveHint.

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 first sentence states the tool's purpose, and each subsequent sentence adds a necessary operational fact: plan source/editability, cost/paid requirement, and delivery limitation. There is no filler or redundant restatement of the name.

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?

For a single-parameter tool with no output schema, the description covers input provenance, editability, cost implications, output contents, and how to obtain the separate pieces. An agent has all the information needed to invoke the tool correctly and interpret the result.

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?

Schema coverage is 0% and the parameter is just named 'plan,' so the description carries the full burden. It explains that plan is the JSON returned by plan_sound_scene, that it can be edited by moving/changing/dropping events, and why the content matters. This fully compensates for the bare 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?

The description opens with a specific verb and resource: 'Generate every event of a plan and mix them into one scene.' It clearly identifies the output and references plan_sound_scene, distinguishing this execution step from the planning sibling.

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

Usage Guidelines4/5

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

It explicitly ties the plan parameter to plan_sound_scene's output, indicating when in the pipeline to use this tool. It also states this step costs and requires a paid plan, and offers the HTTP API as an alternative when separate pieces are needed. It doesn't explicitly contrast with generate_sound_effect or generate_music, but the context is clear.

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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