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google_ads_monitoring_delivery_goal

Check if a Google Ads campaign is actively delivering yesterday, combining campaign info, delivery diagnostics, and performance. Returns status (critical/warning/healthy) with issues and summary, enabling prompt action on delivery problems.

Instructions

Check whether a Google Ads campaign is actively delivering yesterday by composing campaign info, delivery diagnostics, and yesterday's performance. Returns {campaign_id, campaign, diagnosis:{issues, warnings, recommendations, ...}, performance (list of yesterday rows with metrics), status ('critical'|'warning'|'healthy'), issues:[strings], summary, suggested_workflow?}. 'critical' fires when delivery diagnostics have issues, the campaign is not ENABLED, or yesterday impressions == 0. 'warning' fires for diagnostic warnings or impressions 1-9. suggested_workflow is set to 'delivery_fix' when status != 'healthy'. Read-only. For the raw diagnostics without the yesterday composite use google_ads_campaigns_diagnose; for CPA-target evaluation use google_ads_monitoring_cpa_goal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idNoGoogle Ads customer ID as a 10-digit string without dashes (e.g. '1234567890'). Optional — falls back to GOOGLE_ADS_CUSTOMER_ID / GOOGLE_ADS_LOGIN_CUSTOMER_ID from the configured credentials when omitted.
campaign_idYesCampaign ID as a numeric string without dashes (e.g. '23743184133'). Obtain via google_ads_campaigns_list.
Behavior5/5

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

Despite no annotations, the description thoroughly discloses behavior: it is read-only, outlines the exact response structure with status criteria ('critical', 'warning', 'healthy'), and explains when suggested_workflow is set. This provides full transparency beyond basic expectations.

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?

The description is well-structured, front-loading purpose, then response, then criteria, then alternatives. It is fairly concise but could be slightly trimmed without losing value.

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 compensates by detailing the response structure and logic. It covers key aspects but omits error handling or rate limits, though acceptable given the tool's complexity.

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 baseline is 3. The description does not add additional meaning for either parameter beyond what the schema already provides (e.g., no extra context on usage or constraints).

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 clearly states the tool's purpose: 'Check whether a Google Ads campaign is actively delivering yesterday by composing campaign info, delivery diagnostics, and yesterday's performance.' It uses specific verbs and resources, and distinguishes itself from siblings like google_ads_campaigns_diagnose and google_ads_monitoring_cpa_goal.

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

Usage Guidelines5/5

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

The description explicitly provides when-to-use vs alternatives: 'For the raw diagnostics without the yesterday composite use google_ads_campaigns_diagnose; for CPA-target evaluation use google_ads_monitoring_cpa_goal.' This gives clear guidance on tool selection.

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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