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samihalawa

Google Ads MCP Server

get_campaign_details

Retrieve detailed campaign information including performance metrics and analytics for Google Ads campaigns. Specify a campaign ID to access data such as budget, status, and historical performance over a customizable time period.

Instructions

Get detailed information about a specific campaign

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
campaign_idYesThe campaign ID
daysNoNumber of days to look back (default: 30)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is a 'Get' operation, implying read-only behavior, but doesn't clarify if it requires authentication, has rate limits, returns structured data, or handles errors. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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?

The description is a single, efficient sentence with zero wasted words. It front-loads the core purpose ('Get detailed information') and specifies the target ('about a specific campaign'), making it easy to parse quickly.

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

Completeness2/5

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

Given no annotations and no output schema, the description is incomplete for a tool with 2 parameters. It doesn't explain what 'detailed information' entails, the return format, or error handling. While the schema covers parameters well, the overall context for agent usage lacks necessary behavioral and output details.

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 input schema has 100% description coverage, clearly documenting both parameters ('campaign_id' and 'days' with a default). The description adds no additional semantic context beyond what the schema provides, such as explaining what 'detailed information' includes or how 'days' affects the output. Baseline 3 is appropriate as the schema does the heavy lifting.

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 clearly states the verb ('Get') and resource ('detailed information about a specific campaign'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_campaigns' (which likely lists campaigns) or 'get_performance_summary' (which might provide aggregated metrics), leaving some ambiguity about scope.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a campaign ID), exclusions, or comparisons to siblings like 'get_campaigns' for listing or 'get_performance_summary' for aggregated data, leaving the agent to infer usage context.

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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