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tiktok-studio-mcp

tiktok-studio-mcp

by aaronckj
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

post_status

Determine the current status of a TikTok video publication using the publish_id obtained from post_video.

Instructions

Poll a publish_id returned by post_video.

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": {
      "publish_id": "<publish_id>"
    },
    "name": "post_status"
  }
}

Input Schema

NameRequiredDescriptionDefault
publish_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.4

TDQS

A3.6/5.0
Behavior2/5

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

With no annotations, the description carries full burden. It does not disclose any behavioral traits beyond 'poll'—no mention of return format, whether to repeat calls, rate limits, or side effects. This is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no wasted words, making it highly efficient and front-loaded.

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

Completeness2/5

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

Despite its simplicity, the description lacks essential behavioral details and workflow context. An agent may not know what the poll returns or whether to poll repeatedly, making the tool's use incomplete.

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?

The description adds meaning by indicating the publish_id comes from post_video, which is helpful. However, it does not elaborate on format or constraints, so it provides only moderate compensation for the schema's 0% description coverage.

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 clearly states the tool polls a publish_id returned by post_video, providing a specific verb ('poll') and resource (publish_id). It also distinguishes itself from siblings by referencing post_video, making its purpose 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?

The description implies usage after post_video, as it says to poll a publish_id 'returned by post_video.' This gives clear context for when to use the tool, though it does not explicitly list exclusions or alternatives.

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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