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AdsAgent — TikTok Ads MCP

Read ad creation detail

tasks_get_create_detail
Read-only

Return a sanitized TikTok creation snapshot for one create task. The creation_snapshot is from the task's original payload/result; set include_live=true to also fetch current TikTok campaign/adgroup/ad config via /campaign/get, /adgroup/get, /ad/get. Agents should compare the snapshots themselves and use live_snapshot to detect later manual TikTok Ads Manager edits.

REQUIRED: task_id. Optional: include_live (bool, default false). EXAMPLE: tasks_get_create_detail({"task_id": "", "include_live": true})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYes
include_liveNo
connection_contextNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly/non-destructive/closed-world, and the description adds real behavioral context: the snapshot is sanitized and taken from the task's original payload/result, while include_live triggers additional reads against /campaign/get, /adgroup/get and /ad/get. It also warns that comparison is the agent's responsibility. It could still note auth or failure behavior, but this is well beyond the annotation baseline.

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?

Front-loaded with the purpose, then return semantics, then required/optional params, then an example call. Dense and mostly waste-free, though the EXAMPLE line largely restates information already implied by the schema and REQUIRED/Optional line.

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?

No output schema exists, so the description usefully characterizes the returned creation_snapshot and live_snapshot and the intended comparison workflow. Missing details are minor: connection_context is untouched and no mention of error or empty-result behavior.

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 0%, so the description carries the load and does so for the two meaningful parameters: task_id is marked REQUIRED and include_live is described as optional with default false and with the concrete downstream effect of fetching live config. connection_context is left unexplained, which is the only real gap.

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?

States a specific verb+resource ('Return a sanitized TikTok creation snapshot for one create task') and explains what the snapshot contains and its origin. It implicitly distinguishes itself from read-only siblings like tasks_get_status or overview_get_live_configs, but never names an alternative tool outright.

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?

Clearly tells the agent when to set include_live=true (to also fetch current TikTok config and detect later manual Ads Manager edits) and assigns the comparison work to the agent. No explicit when-not or named alternative among the many sibling task tools, so it stops short of a 5.

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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