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prepare_live_avatar

Prepare the saved avatar through the same Anima pipeline as the character manager. Use its returned status and get_live_avatar to check progress. Never repeatedly prepare a queued/running avatar or claim a speaking test occurred. Does not start a paid call.

Input Schema

NameRequiredDescriptionDefault
characterIdYes
workspaceIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already flag non-read-only, non-idempotent, non-destructive, closed-world behavior. The description adds genuinely new context beyond them: the call does not start a paid call (a cost boundary), repeated invocation of queued/running avatars is prohibited (reinforcing non-idempotency), and status retrieval is deferred. It does not describe failure modes or returned status values.

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?

Three short sentences, front-loaded with the action before the guardrails and the cost disclaimer. Dense and waste-free, though the clause about not claiming a speaking test is cryptic without further context.

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

Completeness3/5

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

No output schema, but the description notes a returned status and points to get_live_avatar for progress, covering the lifecycle adequately for a prep tool. It remains incomplete on parameter meaning and the set of possible statuses, and gives no detail on permissions or pipeline duration.

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

Parameters2/5

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

Schema description coverage is 0% for two required parameters (workspaceId, characterId). The description alludes to a 'saved avatar' (hinting at characterId) but never explains either parameter, so the burden of compensation is unmet.

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 specific verb (prepare) and resource (the saved avatar), and ties it to the Anima pipeline, which distinguishes it from create_live_avatar/update_live_avatar. 'Prepare' itself remains slightly fuzzy about what the operation concretely does, but an agent can place it in the avatar lifecycle.

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?

Gives explicit when-not guidance ('never repeatedly prepare a queued/running avatar') and a follow-up routing instruction (use the returned status and get_live_avatar to check progress). It does not explicitly name create_live_avatar as the prerequisite or list alternative tools, so it falls short of full alternative routing.

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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