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Speak a reply through a persona: lip-sync + emotion + gesture

persona_say

Make a persona PERFORM a reply: the body lip-syncs the text and shows the matching facial expression and body gesture. Pass the persona_id and the exact text the agent is saying this turn; the emotion is detected from the text automatically (or set it explicitly). The returned view animates the body for this turn: show it alongside the reply. Use this whenever the persona speaks, on every turn, with the persona_id from create_agent_persona or get_agent_persona.

Input Schema

NameRequiredDescriptionDefault
textYesThe reply text the agent is saying this turn: drives lip-sync and emotion.
emotionNoOptional explicit emotion override; omit to auto-detect from the text.
persona_idYesThe persona to speak through.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / text / description
      Previous value: -"The reply text the agent is saying this turn — drives lip-sync and emotion."New value: +"The reply text the agent is saying this turn: drives lip-sync and emotion."
  2. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations cover the safety profile (destructiveHint=false, openWorldHint=false, readOnlyHint=false), so the description owes less there. It usefully discloses the turn-scoped semantics and that a view is returned that must be displayed alongside the reply, plus that emotion is auto-detected unless overridden — context not present in the annotations.

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 sentences, front-loaded with the core action before the parameter and usage advice. Nearly every sentence earns its place, though the emotion clause slightly duplicates the schema description.

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?

With no output schema, the description correctly compensates by explaining what comes back (a body animation for this turn) and what to do with it (show it alongside the reply). Missing only peripheral detail such as rendering timing, which is minor for this tool.

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

Parameters3/5

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

Schema description coverage is 100%, so text, emotion, and persona_id are already documented in the schema. The description largely restates those semantics ('pass the persona_id and the exact text', 'emotion is detected ... or set it explicitly') without adding new format or constraint detail, so the baseline 3 applies.

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+resource ('Make a persona PERFORM a reply') and unpacks the effect: lip-sync, facial expression, body gesture. It clearly separates itself from the persona CRUD siblings (create_agent_persona, get_agent_persona) by describing performance rather than creation/retrieval.

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 an explicit invocation rule ('Use this whenever the persona speaks, on every turn') and names where persona_id comes from (create_agent_persona or get_agent_persona). It lacks a when-not / alternative clause, but for an always-on tool the context is already unambiguous.

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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