Marketplace advertising: operating reviews with tool calls

Review tool calls for operating reviews in Marketplace advertising. Check document scope, failure paths and source evidence through controlled tests.

What the documents look like

For operating reviews in Marketplace advertising, this page examines FastGPT tool calls. Advertising-review tools verify metric definitions and observation windows before interpreting campaign records. The examples are hypothetical.

Constraints at the tool calls step

Suppose an advertising summary contains clicks only, a plan awaits execution and a historical screenshot uses a different observation window. Describe the tool as reading and comparing these records, requiring campaign identity and period. Connect it to the calling module and inspect actual parameters. Check system parameters separately from plugin configuration; missing required identity may prevent invocation. No measured result is supplied, and clicks establish no advertising-generated orders.

Configuration and implementation checks

Advertising-review toolProposed materialInspection
Click recordOne metricNo additional-order inference
Plan stateExecution pendingOperation receipt
Observation windowHistory differsCheck boundaries/identity
Required parametersCampaign and periodActual invocation
Business decisionsSeparate changes/attributionAuthority and evidence

Documented conditions

Documented item / implementation checkCondition
Tool descriptionDescribe purpose, inputs and non-applicable situations.
Tool parametersInspect module and plugin parameters separately.
Required parametersThe model may not invoke a tool without suitable required inputs.
Tool connectionsAvailable tools must connect to the calling module.
Tool-call terminationTermination ends the call without a later AI summary.

Three common errors

Clicks reported as additional orders need metric definitions and order evidence checked. A pending plan described as applied optimization needs operation receipts checked. Historical data mixed into this period needs window boundaries and campaign identity checked. These examine meaning, execution stage and temporal comparability, without establishing causation from a successful tool response.

How to verify the setup

Retain input, tool request and raw response, checking whether conclusions exceed returned metrics. Assess actual terminal output if termination is configured, without expecting a later model summary. Campaign changes, budget operations and attribution each require business authority and evidence. The tool organizes differences in existing records for review. Keep click definitions apart from order-attribution evidence and identify windows that cannot be directly combined.

Material contextScope
Document typesAdvertising Plan, Keyword Report, Audience Package Description and Conversion Attribution Table
Candidate sourcesJuliang Qianchuan, JD Kuaiche advertising, Alimama and Store Transaction Data
Technical baselineFastGPT v4.17.2