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jomiferse

Google Ads MCP Admin

by jomiferse

search_search

Read-only

Query Google Ads data for a customer ID by selecting fields and resources, with optional filters and ordering for precise reporting.

Instructions

Fetches data from the Google Ads API using the search method

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoThe maximum number of rows to return
fieldsYesThe fields to fetch
resourceYesThe resource to return fields from
orderingsNoHow the data is ordered
conditionsNoList of conditions to filter the data, combined using AND clauses
customer_idYesThe id of the customer

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The readOnlyHint annotation already signals this is a safe read operation. The description confirms the fetching behavior and adds the 'search method' detail, but does not disclose additional traits like pagination, rate limits, or error handling. No contradiction with annotations exists.

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 sentence that immediately states the action and method. Every word is meaningful, with no fluff or repetition of schema details.

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

Completeness3/5

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

The tool has moderate complexity, but the schema fully covers parameters and an output schema exists. The description is adequate but minimal; it does not explain the GAQL/search method context or provide operational guidance beyond the basic purpose. Given the richness of structured data, this is a passable but not exceptional description.

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?

Input schema has 100% coverage with descriptions for all six parameters. The tool description itself adds no parameter-level meaning, so per the rubric baseline of 3 for high schema coverage, this score 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?

The description clearly states the action ('Fetches data'), the resource ('Google Ads API'), and the method ('search method'), making it distinct from sibling mutation and metadata tools. The verb is specific and the resource is clearly identified.

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 usage guidance is provided. The description does not mention when to use this tool versus alternatives, nor does it name sibling tools or list exclusions. The intended read-only use is only implied by the annotations and the word 'fetches', not explicitly stated.

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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