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List ChatGPT Ads campaigns

list-openai-ads-campaigns
Read-only

List campaigns on the connected ChatGPT Ads account with status, schedule, budget, and targeting.

Input Schema

NameRequiredDescriptionDefault
afterNoCursor for next page
limitNoMax campaigns to return
orderNoSort by creation time: desc (newest first) or asc
beforeNoCursor for prev page
domain_idYesDomain ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds the returned field set but says nothing about pagination behavior despite after/before cursors in the schema, nor about default ordering or result caps.

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?

A single well-formed sentence with the resource and scope front-loaded and zero filler. 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?

With no output schema, the description usefully lists returned attributes, and the schema fully covers parameters. The remaining gap is pagination/ordering behavior, which an agent must infer from the cursor fields alone.

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%, with limit, order enum, and cursor parameters all documented in the schema itself. The description contributes no additional parameter meaning, so the baseline of 3 applies.

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?

The description gives a specific verb and resource ('List campaigns') scoped to the connected ChatGPT Ads account, and enumerates the returned fields (status, schedule, budget, targeting). It is clearly distinct from get-openai-ads-campaign (singular) and list-openai-ads-ad-groups, though it never names those siblings explicitly.

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?

Usage is implied by the plural 'List' verb and the account scoping, but there is no explicit when-to-use, when-not, or pointer to sibling listing tools such as list-openai-ads-ad-groups. An agent can infer the intent but gets no routing guidance.

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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