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Get a voice

get_voice
Read-onlyIdempotent

Get one voice's full profile: its VOICE.md, every source studied with a note on what it shows, the observations drawn from them, a handwritten example, the licence and the attribution line. Profiles are unofficial studies of public writing technique; the people named did not write or endorse them.

Input Schema

NameRequiredDescriptionDefault
voiceYesA voice slug such as elon-musk for the current edition, or an exact voice ID (slug@sha256:…) from search_voices.

Output Schema

NameRequiredDescriptionDefault
dataYes
release_idYesThe Provenry release every voice in this answer was read from.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedOutput schema / properties / data / properties / evaluation
      Removed value: -{
      -  "const": "unbenchmarked",
      -  "description": "unbenchmarked: not yet blind-tested against a name-only prompt.",
      -  "type": "string"
      -}
    • changedOutput schema / properties / data / required
      Previous value: -[
      -  "voice_id",
      -  "slug",
      -  "name",
      -  "lane",
      -  "featured",
      -  "move",
      -  "description",
      -  "scope",
      -  "studied",
      -  "strengths",
      -  "limitations",
      -  "status",
      -  "evaluation",
      -  "page_url",
      -  "voice_md_url",
      -  "voice_md",
      -  "voice_md_digest",
      -  "sources",
      -  "observations",
      -  "illustration",
      -  "licence",
      -  "licence_url",
      -  "attribution",
      -  "notice"
      -]New value: +[
      +  "voice_id",
      +  "slug",
      +  "name",
      +  "lane",
      +  "featured",
      +  "move",
      +  "description",
      +  "scope",
      +  "studied",
      +  "strengths",
      +  "limitations",
      +  "status",
      +  "page_url",
      +  "voice_md_url",
      +  "voice_md",
      +  "voice_md_digest",
      +  "sources",
      +  "observations",
      +  "illustration",
      +  "licence",
      +  "licence_url",
      +  "attribution",
      +  "notice"
      +]
  2. 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 read-only, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds non-obvious context the annotations cannot: the profile's editorial nature ('unofficial studies of public writing technique; the people named did not write or endorse them'), which shapes how an agent should present the content.

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?

Two sentences, both front-loaded: contents first, caveat second. The long enumeration in sentence one is dense but each listed item is informative rather than filler; no redundancy with annotations or schema.

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 an output schema, rich annotations, and a fully documented single parameter, the description needs only to frame purpose and caveats, which it does. The one gap is sibling disambiguation (get_voice vs get_voice_packet), which would be the finishing touch for a retrieval tool with a near-namesake.

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 coverage is 100% and the parameter already documents both slug and exact-ID forms, so the description adds nothing about the `voice` argument. Baseline 3 applies since the schema carries the full burden.

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 and resource ('Get one voice's full profile') and then enumerates the actual contents — VOICE.md, sources, observations, handwritten example, licence, attribution — so an agent knows exactly what comes back. It is clearly distinct from search_voices (which returns IDs) and get_voice_packet.

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

Usage Guidelines3/5

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

Using it after a search is implied by the schema's mention of an ID 'from search_voices', but the description itself gives no when-to-use/when-not guidance and never contrasts itself with get_voice_packet, its closest sibling. The agent must infer the choice between the two packet/profile tools.

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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