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atmosphere-ai

AdvisorPPC X Ads MCP Server

Delete custom audience

x_ads_delete_audience
Destructive

Soft-delete a custom audience so line items stop targeting it. Requires explicit user confirmation to complete the deletion.

Instructions

Soft-delete a custom audience. Line items targeting it will stop matching. confirm=true after the user named the audience.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNo
account_idYesAds API account id from x_ads_list_accounts, e.g. 18ce55v2od2
custom_audience_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, but the description adds meaningful context beyond them: the operation is a soft-delete (not permanent destruction) and the open-world side effect that "line items targeting it will stop matching." This usefully clarifies what actually happens given openWorldHint=true, going beyond the bare annotation signal.

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 sentences with zero filler: the core action is front-loaded, followed by the consequence and the confirmation condition. Every clause carries information an agent needs, and no structured-field content is redundantly repeated.

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?

For a simple three-parameter delete tool with annotations carrying the safety profile)Skip and no output schema required, the description is nearly complete: it covers the operation type, the downstream effect, and the confirmation gate. The only notable gap is that custom_audience_id provenance (from x_ads_list_audiences) is not indicated.

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 only 33% (only account_id is documented), so the description must compensate. It does add real value by explaining the confirm parameter's semantics — that it should only be set true after the user names the audience. However, custom_audience_id remains entirely undocumented in both schema and description, with no hint about where to obtain it (e.g., x_ads_list_audiences).

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 opens with a specific verb and resource combination — "Soft-delete a custom audience" — which clearly identifies the action and target. The soft-delete qualifier adds meaningful nuance beyond the title and hints at differentiation from hard-delete operations like the generic x_ads_delete sibling, though it doesn't explicitly name an alternative.

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 description provides a clear usage condition for the confirm parameter ("confirm=true after the user named the audience"), which implies a confirmation-gating pattern. However, it never addresses tool selection — when to choose this over x_ads_delete, x_ads_set_status, or x_ads_update_audience — and the line-item consequence is stated as a fact rather than a selection criterion.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.