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apexradius

mcp-google-ads

by apexradius

get_campaign_performance

Retrieve Google Ads campaign performance metrics for a date range, optionally filtered by campaign ID or named account.

Instructions

Get campaign performance metrics for a date range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNoNamed account from config
end_dateYesYYYY-MM-DD
start_dateYesYYYY-MM-DD
campaign_idNoFilter to a specific campaign ID (optional)
customer_idYesGoogle Ads customer ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description should carry the burden. The description only states what it does ('Get') but doesn't disclose any behavioral traits such as data aggregation, timezone handling, pagination, or potential side effects. It implies a read-only operation, but lacks depth.

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 a single clear sentence with no fluff, front-loading the main action. However, it is somewhat minimal and omits useful context that could be added without sacrificing conciseness.

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?

The tool has multiple parameters, sibling tools, and an output schema (though not shown). The description gives only the basic purpose and misses usage guidance, behavioral transparency, and parameter nuances. It feels incomplete for effective selection and invocation.

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%, with each parameter well-documented. The description adds no additional parameter semantics beyond the schema, so the baseline of 3 is appropriate.

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 uses a specific verb ('Get') and identifies the resource ('campaign performance metrics') and scope ('date range'). It clearly states the tool's function, though it doesn't explicitly differentiate from sibling metrics tools like get_ad_performance or get_keyword_performance, which are distinct but similar.

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 that this is for campaign-level performance, nor does it compare with sibling tools. Users must infer context from the tool name and sibling list.

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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