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niyogi

chatgpt-ads-manager-mcp

by niyogi

create_ad_account_spend_limit_window

Set an ad account spend cap for a date range using inclusive start and exclusive end timestamps, preventing overspending.

Instructions

Create a spend limit window with inclusive start and exclusive end. Use to cap spend over a date range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_timeYesExclusive end as unix seconds.
start_timeYesInclusive start as unix seconds.
ad_account_idNoOptional ad account ID override.
spend_limit_microsYesSpend cap in micros (1 USD = 1,000,000).
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It repeats the inclusive/exclusive semantics already present in the schema, but gives no additional behavioral context: no side effects, no conflict behavior with existing windows, no response or error semantics, and no permissions or rate-limit guidance.

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 short sentences with zero filler. The core action, boundary semantics, and purpose are all front-loaded. Every word earns its place.

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

Completeness3/5

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

The parameters are fully documented in the schema and the purpose is clear, so basic invocation is feasible. However, with no output schema and no annotations, the description omits what happens on success, whether the window can conflict with existing ones, and account-scope implications. It is adequate but not complete for a state-changing tool.

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%, so the baseline is 3. The description's mention of inclusive/exclusive boundaries adds no information beyond the schema's own parameter descriptions. It provides no extra context for ad_account_id or spend_limit_micros.

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 names a specific verb and resource: 'Create a spend limit window,' and adds precise semantics with 'inclusive start and exclusive end.' The word 'Create' clearly differentiates it from sibling tools like update_ad_account_spend_limit_window and delete_ad_account_spend_limit_window.

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?

It gives a clear context for use: 'Use to cap spend over a date range.' It does not explicitly mention alternatives or when not to use the tool, but the intended use case is stated plainly and is not buried or vague.

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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