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samihalawa

Google Ads MCP Server

export_report

Export Google Ads campaign data to CSV or JSON format for analysis and reporting. Specify format and date range to retrieve performance metrics.

Instructions

Export campaign data to CSV or JSON format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatYesExport formatcsv
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 the action ('Export') but lacks details on permissions needed, whether it's a read-only operation, rate limits, or what the output looks like (e.g., file download vs. inline data). This leaves significant gaps for an agent to understand the tool's 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 waste. It's front-loaded with the core action and resource, making it easy to scan and understand 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 the complexity of an export tool with no annotations and no output schema, the description is incomplete. It doesn't cover behavioral aspects like authentication needs, output handling, or error conditions, which are crucial for an agent to use the tool effectively in context with sibling tools.

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 the schema already documents both parameters ('format' and 'days') with descriptions and defaults. The description adds no additional meaning beyond what the schema provides, such as explaining the context of 'days' (e.g., historical data range) or format implications.

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 ('Export') and resource ('campaign data'), specifying the output formats (CSV or JSON). However, it doesn't differentiate from sibling tools like 'get_campaigns' or 'get_performance_summary' that might also retrieve campaign data but in different formats or contexts.

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?

No guidance is provided on when to use this tool versus alternatives. For example, it doesn't specify if this is for bulk data export compared to real-time queries from siblings like 'get_campaign_details', or mention prerequisites such as campaign availability.

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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