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Google Flow Agent MCP Server by useapi.net (third-party)

List Flow voices

flow_list_voices
Read-onlyIdempotent

List the voices of a Google Flow account: Flow's built-in voices (pass the name) and the account's own custom voices (pass the voice reference id), as referenceAudio_N to flow_agent_chat, named @referenceAudio_N. source: system or user only. GET /voices.

Input Schema

NameRequiredDescriptionDefault
emailNoThe Google Flow account email. Optional when the API token has one Flow account.
sourceNosystem: the built-in voices only; user: the account's own voices only. Default both.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint=false, so the safety profile is covered. The description adds real value beyond that: the HTTP verb+path (GET /voices), the accepted source filter values, and the identifier convention (referenceAudio_N, referenced as @referenceAudio_N) that governs how results must be consumed.

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?

A single dense sentence that front-loads the core action and keeps the integration detail attached. The referenceAudio_N/@referenceAudio_N naming is stated twice in close proximity, which is slightly redundant but not wasteful.

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 still conveys what is returned (two voice categories), how to filter them, and how the resulting identifiers feed flow_agent_chat. Return shape/pagination is omitted, but for a simple read-only list tool the coverage is sufficient.

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 both parameters are already documented with their enum and optionality. The description's 'source: system or user only' largely restates the schema, and email filtering semantics are not expanded upon, so it sits at the baseline.

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+resource ('List the voices of a Google Flow account') and splits the resource into its two meaningful sub-kinds (built-in vs. custom), which is the distinction an agent actually needs. It does not explicitly position itself against flow_list_assets/flow_list_characters, but naming flow_agent_chat as the consumer makes the tool's role unambiguous.

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?

Tells the agent the key downstream condition: pass the name for built-in voices and the voice reference id for custom ones when using flow_agent_chat. It gives clear context for source values but offers no explicit when-not-to-use or sibling call-out.

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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