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seo-console-mcp

ads_campaigns

Retrieve Google Ads campaign performance data including status, daily budget, impressions, clicks, cost, and conversions over a specified time window. Read-only access simplifies reporting and analysis.

Instructions

Read Google Ads campaigns: status, daily budget, impressions, clicks, cost and conversions over a window. Needs GOOGLE_ADS_DEVELOPER_TOKEN, an OAuth client and a refresh token; read-only

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoHow many days back to report, ending today

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysYes
notesYes
rowCountYes
campaignsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.18.0

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are present, so the description carries the burden. It explicitly discloses read-only behavior and the required credentials (developer token, OAuth client, refresh token), which are the key behavioral and operational facts. It does not discuss pagination or rate limits, but these are not necessary for a simple read with an output schema.

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 sentence that packs the resource, metrics, time scope, and auth requirements with no filler. Essential information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read-only tool with a full output schema, the description plus schema cover the operation, auth, safety profile, and parameter semantics. Nothing an agent needs to invoke it correctly is missing.

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?

The only parameter, days, is already fully described in the schema (default, min, max, meaning). The description's 'over a window' adds no new semantic detail, so with 100% schema coverage the baseline 3 is appropriate.

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?

States a specific verb ('Read'), a specific resource ('Google Ads campaigns'), and enumerates the exact metrics returned (status, daily budget, impressions, clicks, cost, conversions) over a time window. This clearly distinguishes it from sibling ads_* tools that target keywords, ads, ad copy, or assets.

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?

Provides clear context: this is the tool for campaign-level Google Ads performance data over a window, and it lists the required auth setup. However, it does not explicitly name alternatives or state when not to use it, so it stops short of full routing guidance.

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