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Opus Growth, Ad Platforms MCP Connector

Update TikTok Campaign Budget

update_tiktok_campaign_budget
Destructive

Updates a TikTok campaign budget (in the main unit of the account currency, e.g. 75 = 75.00). Budget guardrails: +50% per change, +100% cumulative per 24h, no cut deeper than -80%. confirm=false = preview, confirm=true applies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
budgetYes
confirmNo
campaign_idYes
advertiser_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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TDQS

A4.5/5.0
Behavior5/5

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

Annotations already declare destructiveHint=true and idempotentHint=false, yet the description adds substantial non-derivable behavior: the +50% per-change / +100% per-24h / -80% cut guardrails, the currency unit convention, and the preview-vs-apply confirm workflow. This is meaningful context an agent cannot infer from the schema or annotations.

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?

Three tight sentences, front-loaded with the operation and unit before the guardrails and confirm semantics. Zero filler; every clause carries operative information.

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 destructive mutation tool with an output schema already covering return values, the description supplies the key invocation-critical facts: currency unit, hard guardrails, and the preview/apply toggle. Nothing essential for a correct call is missing.

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?

With 0% schema description coverage, the description carries the burden and does so for the two non-obvious params: it explains budget is in the account's main currency unit (75 = 75.00) and defines confirm's preview/apply semantics. advertiser_id and campaign_id are left to their self-evident names, which is a minor gap.

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?

States a specific verb+resource ('Updates a TikTok campaign budget') that the agent can distinguish from the sibling update_tiktok_adgroup_budget and from the broader set_campaign_budget. The scope (campaign-level, TikTok) is unambiguous from the first clause.

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

Usage Guidelines3/5

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

The confirm=false/confirm=true preview-vs-apply convention gives useful usage context, but no alternative tool is named or contrasted (e.g. set_campaign_budget or update_tiktok_campaign). Usage is implied by the workflow rather than tied to a when-to-use condition.

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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