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Update post

auto_publish_update_post

Approve, skip or edit one Auto Publish post (postId from auto_publish_list_posts). status accepts only "approved" or "skipped"; there is no reject. Approving needs a generated video and queues the post for the campaign's YouTube channel at its next publishing slot; use publish_post_now to post at once. edits may change script, title, description, videoPrompt, topic, hook, or the voice (voiceId with voiceProvider and voiceName); a cloned voice must be the user's own. Refused (409) while the post is generating. Returns { post }.

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": {
      "postId": "<postId>",
      "context": "<context>",
      "llm_model": "<llm_model>"
    },
    "name": "auto_publish_update_post"
  }
}

Input Schema

NameRequiredDescriptionDefault
editsNoAny of script, title, description, videoPrompt, topic, hook, voiceId, voiceProvider, voiceName.
postIdYespostId from auto_publish_list_posts.
statusNo"approved" or "skipped". Omit to only apply edits.
contextYesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as "a user", "the customer", or "an account". Example: "Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution."
llm_modelYesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
conversation_idNoPass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / edits / description
      Added value: +"Any of script, title, description, videoPrompt, topic, hook, voiceId, voiceProvider, voiceName."
    • addedInput schema / properties / postId / description
      Added value: +"postId from auto_publish_list_posts."
    • addedInput schema / properties / status / description
      Added value: +"\"approved\" or \"skipped\". Omit to only apply edits."
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare non-read-only, non-destructive, non-idempotent behavior; the description adds real context beyond them: approval queues the post for the campaign's YouTube channel at the next slot, 409 is returned during generation, and the return shape is { post }. It does not address what re-approval of an already-approved post does, leaving the idempotentHint=false unexplained.

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 dense sentences, front-loaded with the verb and resource, then constraints and alternatives. No filler, though the edits/voice clause is a long parenthetical that could be split for readability.

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

Completeness5/5

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

For a mutation tool with no output schema, the description covers preconditions, alternatives, failure mode (409), side effects (queueing to YouTube), and return value, leaving no meaningful gap for correct invocation.

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

Parameters5/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds genuinely new semantics the schema lacks: status is restricted to "approved"/"skipped" with no reject option, edits can target a named set of fields including voice triple (voiceId/voiceProvider/voiceName), and a cloned voice must belong to the user.

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?

Opens with a specific verb trio (approve/skip/edit) on a specific resource ('one Auto Publish post'), and anchors postId to its source (auto_publish_list_posts). It is immediately distinguishable from the sibling publish_post_now, which it names as the immediate-publish alternative.

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

Usage Guidelines5/5

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

Explicitly states the allowed status values and the negative case ('there is no reject'), explains that omitting status applies edits only, routes immediate publishing to publish_post_now, and states the precondition (a generated video is required) plus the 409 refusal window while generating.

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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