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grok_run_pipeline
Destructive

Orchestrated Grok Boost run: transcript (transcript_id, text, or turns) → ElevenLabs audio → HyperFrames video → optional YouTube publish. Stages run in the background across separate invocations — returns immediately with a run_id; watch grok_runs / the admin feed for progress and the final video_url.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "brief": "<brief>"
    },
    "name": "grok_run_pipeline"
  }
}

Input Schema

NameRequiredDescriptionDefault
textNoRaw article/transcript text to adapt.
briefYesVideo direction for the HyperFrames connector (required).
styleNoOptional video style hint.
titleNoEpisode title override.
turnsNoReady-made script turns [{speaker:"HOST"|"NATALIE", text}].
publishNoOptional {title, description?, tags?, visibility?} — when set, uploads the finished video to YouTube.
with_natalieNoTwo-voice co-host format (default single-host).
transcript_idNopodcast_transcripts id (uuid) — or pass text / turns.

Output Schema

NameRequiredDescriptionDefault
okNo
stepNo
errorNoPresent only when ok is false.
run_idNo
statusNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and openWorldHint=true, so the safety profile is covered; the description adds genuinely new behavior — stages execute in the background across separate invocations and the call returns immediately with a run_id. It omits failure handling and whether re-running duplicates work, which is a modest gap given the destructive annotation.

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 tightly packed sentences with the input chain front-loaded and the async/return contract immediately after. The arrow notation is dense but readable, and no sentence is filler.

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?

Given an output schema exists and annotations carry hints, the description covers the essential async contract: immediate run_id return and where to poll for progress and final video_url. It could say more about failure modes or credit consumption for a destructive, non-idempotent run, but the core is present.

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

Parameters4/5

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

Schema coverage is 100%, so the schema documents each field; the description still adds value by making explicit that transcript input is one-of transcript_id / text / turns, a mutual-exclusivity fact the schema leaves implicit. It adds little on brief, style, or with_natalie beyond what the schema says.

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 names a specific orchestrated action and enumerates the exact stage chain (transcript → ElevenLabs audio → HyperFrames video → optional YouTube publish), which cleanly distinguishes it from the individual grok_generate_audio, grok_generate_video and grok_stitch siblings.

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 clearly frames this as the all-in-one orchestrated run versus the granular stage tools, and states that publishing to YouTube only happens when the publish object is set. It does not explicitly say when to prefer the single-stage siblings, so it falls short of full when/when-not guidance.

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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