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OpenAI Ads (Beta): Conversion setup

openai_ads_conversion_setup
Read-only

BETA — Conversion-Messung des OpenAI-Ads-Kontos: pixels (source_id für Event-Einstellungen, pixel_id für Website-Snippet und Conversions API) und event_settings (id, name, event_type, custom_event_name, Zuordnungsfenster, campaigns = Kampagnen, die dieses Ereignis zählen). Ein Ereignis zählt nur bei Kampagnen, denen es zugeordnet ist (openai_ads_update_campaign). workspace: Slug des Kunden-Workspace (optional bei nur einem Workspace).

Input Schema

NameRequiredDescriptionDefault
workspaceNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuine semantics beyond that — the pixel/event_settings relationship and the rule that events only count for assigned campaigns — but says nothing about auth requirements, rate limits, or what happens in a multi-workspace account beyond the parameter note.

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?

Dense but front-loaded: the resource and its two data families come first, the campaign-assignment rule and the workspace note follow. The long parenthetical enumerating event_settings fields partly duplicates the output schema, which costs a little, but there is no filler or preamble.

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?

The tool is low-complexity (one optional param), annotations cover the safety profile, and an output schema exists — so the return values need not be described, yet the description documents them anyway. What is missing is the usage boundary against the create_* conversion siblings; also note the description is in German while the surrounding tool metadata and siblings are English, which may slow some agents.

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 description coverage is 0% for the single 'workspace' parameter, so the description carries the burden and does: it defines the value as a customer workspace slug and states it is optional when only one workspace exists, which the bare anyOf[string,null] schema does not convey.

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?

Names the concrete resource — the conversion measurement setup of the OpenAI Ads account — and enumerates what it exposes: pixels (source_id for event settings, pixel_id for the website snippet and Conversions API) and event_settings (id, name, event_type, custom_event_name, attribution window, assigned campaigns). No explicit retrieval verb ('get'/'list'), and 'setup' could be misread as a write operation, so it does not fully disambiguate from siblings like openai_ads_create_conversion_setting or openai_ads_create_pixel by name.

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

Usage Guidelines2/5

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

The description never states when to call this versus openai_ads_create_pixel / openai_ads_create_conversion_setting / openai_ads_insights. The only routing hint is a cross-reference — an event only counts for campaigns it is assigned to via openai_ads_update_campaign — which is domain context rather than a use/avoid condition for this tool.

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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