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google_ads_campaigns_diagnose

Diagnose why a Google Ads campaign is not serving or under-delivering. Get ordered issues with plain-language explanations and remediation hints to narrow down the problem.

Instructions

Explains why a campaign is not serving or is under-delivering. Returns an ordered list of issues drawn from serving_status, primary_status, and primary_status_reasons (e.g. LIMITED_BY_BUDGET, AD_GROUPS_PAUSED, KEYWORDS_DISAPPROVED, NO_ELIGIBLE_ADS), each annotated with a plain-language description and a remediation hint. Read-only — does not change anything. Use this before pulling raw performance reports; it narrows the problem space.

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 to diagnose.
Behavior4/5

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

No annotations provided, but description declares 'Read-only — does not change anything,' and details return structure (ordered list from serving_status, primary_status, etc.) with annotations for each issue. Discloses all relevant behavioral traits for a diagnostic tool.

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: first defines purpose, second details output and usage. No redundant words; every sentence adds 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?

Given no output schema and no annotations, the description adequately explains the return format (ordered list with fields, descriptions, hints) and usage context. Covers essential behavioral aspects; minor gap is lack of explicit note on pagination or limit, but not critical for diagnostic 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 coverage is 100%, and schema descriptions are adequate. Description adds context about customer_id fallback but does not significantly enhance parameter understanding beyond schema.

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 specifies verb 'explains why a campaign is not serving or is under-delivering' with a clear resource (campaign) and output (ordered list of issues). It distinguishes from siblings by noting read-only nature and use case before raw reports.

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?

Explicitly states 'Use this before pulling raw performance reports; it narrows the problem space,' providing clear when-to-use guidance. No explicit when-not-to-use, but context among many siblings gives implicit alternatives.

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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