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Crawlora MCP

tiktok_mobile_live_room_by_user

Read-only

Retrieve the current TikTok LIVE room for one numeric user ID. The user must be live for a room to be returned.

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": {
      "user_id": "<user_id>"
    },
    "name": "tiktok_mobile_live_room_by_user"
  }
}

Input Schema

NameRequiredDescriptionDefault
user_idYesrequired,Numeric TikTok user ID whose current LIVE room to retrieve.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, openWorldHint), and the description adds genuinely new behavior: results are conditioned on the subject actually being live. It does not mention whether a non-live user yields an empty result or an error, which is the main remaining ambiguity.

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?

Two sentences, no filler, with the action first and the liveness constraint second. Nothing could be removed without losing information.

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?

A single-parameter lookup with an output schema and read-only annotations needs little more than what is here; the description covers action, input format, and the liveness gate. The only gap is ambiguity about the empty/not-live response shape, which is partially mitigated by the output schema.

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% and the schema already labels user_id as a numeric TikTok user ID, so the description's "one numeric user ID" is essentially a restatement. No format examples, no note about where to obtain the ID. Baseline 3 given the schema carries the parameter documentation.

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?

"Retrieve the current TikTok LIVE room" is a specific verb plus resource, scoped to "one numeric user ID", which separates it from the room-ID-based tiktok_mobile_live_room sibling. It stops short of naming that sibling explicitly, so the differentiation is inferential rather than stated.

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 user must be live for a room to be returned" is an explicit precondition that tells the agent when this call will be productive versus empty. No alternative tools are named for the case where the user is offline or where only a name is known.

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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