Ask questions across Shopify, Klaviyo, GA4 and 20+ e-commerce sources in plain English.
Scored across 1 tool
There is only one tool, so there is no possibility of confusing it with another tool. Its purpose is singular and clearly stated.
The single tool uses a clear snake_case verb_noun pattern: get_subscription_status. No inconsistent naming is present because there are no other tools to compare.
One tool is too few for a server named Ask AI, whose apparent purpose would involve querying or interacting with AI/data sources. This tool is only a subscription-status gate, not the core functionality users would expect.
The surface is severely incomplete for an AI assistant server: there are no tools for asking questions, accessing data sources, or using the AI itself. The only tool handles subscription status, leaving core workflows entirely uncovered.
The Ask AI trial or subscription for this account has ended, so the data tools are paused. Call this to get the account status and the reactivation link to share with the user. Connected data sources and history are preserved and reactivate instantly on subscribing.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly/read-only, idempotent, and closed-world behavior. The description adds meaningful context beyond that: the pause condition, that data sources and history are preserved, and that reactivation is instant on subscribing. It does not cover auth/rate-limit specifics, keeping it at a solid 4 rather than 5.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three tight sentences with no filler, and it moves from the triggering situation to the action and then to reassurance. It leads with the account condition rather than the action verb, which is slightly less front-loaded than ideal but still clear.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-param read tool with no output schema, the description supplies what matters: the status plus a reactivation link, and reassurance that data is preserved. It could specify the return shape more (e.g., status values) to reach 5, but an agent can call it correctly with what is given.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With zero parameters and 100% schema coverage there is nothing for the description to clarify, so the baseline of 4 applies. No parameter meaning is missing or misrepresented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource ('Call this to get the account status and the reactivation link') and frames it with the exact situation it addresses (trial/subscription ended, data tools paused). It is immediately obvious what the tool returns and who it serves, with no sibling to disambiguate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It clearly states the triggering condition ('the data tools are paused') and what to do with the result ('share with the user'), so an agent knows when and why to call it. There are no alternative tools to route between, so no exclusions are needed, but it stops short of explicit when-not guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
complete_interventionget_abandoned_checkoutsget_anomaliesget_briefingget_campaign_impactget_cart_affinityget_collectionsget_complete_dashboardget_customer_insightsget_customersget_daily_metricsget_data_sourcesget_discountsget_focusget_forecastget_helpget_insightsget_interventionsget_inventoryget_marketing_performanceget_marketsget_metrics_comparisonget_metrics_multi_compareget_orderget_ordersget_product_analyticsget_product_catalogget_product_healthget_products_by_channelget_query_to_urlget_refundsget_revenue_driversget_spend_reconciliationget_store_notesget_store_profileget_store_summaryget_subscription_statusget_sync_healthget_targetsget_timelineget_top_productsget_velocityget_wakeupget_wakeupsget_weekly_trendsget_yoy_monthlyquery_metric_snapshotsquery_ordersrecord_metric_snapshotreport_concernreport_data_issuesave_focussave_insightssave_store_notesave_targetsave_wakeupset_interventionupdate_focus_itemupdate_insightupdate_interventionupdate_store_profileset_intervention1 field changedInput schema / properties / watchAdded value: +{
+ "description": "Optional threshold watch evaluated on every get_briefing, so a breach SURFACES rather than being recomputed by hand each time. Shape: {metric:'orders'|'revenue', windowDays: 1-90, op:'lt'|'lte'|'gt'|'gte', threshold: number, note?: string}, e.g. {metric:'orders', windowDays:3, op:'lt', threshold:55}. Windows cover COMPLETE days only; an unsupported metric is rejected here rather than silently never firing.",
+ "type": "object"
+}update_interventioncomplete_interventionget_abandoned_checkoutsget_anomaliesget_briefingget_campaign_impactget_cart_affinityget_collectionsget_complete_dashboardget_customer_insightsget_customersget_daily_metricsget_data_sourcesget_discountsget_focusget_forecastget_helpget_insightsget_interventionsget_inventoryget_marketing_performanceget_marketsget_metrics_comparisonget_metrics_multi_compareget_orderget_ordersget_product_analyticsget_product_catalogget_product_healthget_products_by_channelget_query_to_urlget_refundsget_revenue_driversget_spend_reconciliationget_store_notesget_store_profileget_store_summaryget_subscription_statusget_sync_healthget_targetsget_timelineget_top_productsget_velocityget_wakeupget_wakeupsget_weekly_trendsget_yoy_monthlyquery_metric_snapshotsquery_ordersrecord_metric_snapshotreport_concernreport_data_issuesave_focussave_insightssave_store_notesave_targetsave_wakeupset_interventionupdate_focus_itemupdate_insightupdate_store_profilecomplete_interventionget_abandoned_checkoutsget_anomaliesget_briefingget_campaign_impactget_cart_affinityget_collectionsget_complete_dashboardget_customer_insightsget_customersget_daily_metricsget_data_sourcesget_discountsget_focusget_forecastget_helpget_insightsget_interventionsget_inventoryget_marketing_performanceget_marketsget_metrics_comparisonget_metrics_multi_compareget_orderget_ordersget_product_analyticsget_product_catalogget_product_healthget_products_by_channelget_query_to_urlget_refundsget_revenue_driversget_spend_reconciliationget_store_notesget_store_profileget_store_summaryget_subscription_statusget_sync_healthget_targetsget_timelineget_top_productsget_velocityget_wakeupget_wakeupsget_weekly_trendsget_yoy_monthlyquery_metric_snapshotsquery_ordersrecord_metric_snapshotreport_concernreport_data_issuesave_focussave_insightssave_store_notesave_targetsave_wakeupset_interventionupdate_focus_itemupdate_insightupdate_store_profilecomplete_interventionget_abandoned_checkoutsget_anomaliesget_briefingget_campaign_impactget_cart_affinityget_collectionsget_complete_dashboardget_customer_insightsget_customersget_daily_metricsget_data_sourcesget_discountsget_focusget_forecastget_helpget_insightsget_interventionsget_inventoryget_marketing_performanceget_marketsget_metrics_comparisonget_metrics_multi_compareget_orderget_ordersget_product_analyticsget_product_catalogget_product_healthget_products_by_channelget_query_to_urlget_refundsget_revenue_driversget_spend_reconciliationget_store_notesget_store_profileget_store_summaryget_subscription_statusget_sync_healthget_targetsget_timelineget_top_productsget_velocityget_wakeupget_wakeupsget_weekly_trendsget_yoy_monthlyquery_metric_snapshotsquery_ordersrecord_metric_snapshotreport_concernreport_data_issuesave_focussave_insightssave_store_notesave_targetsave_wakeupset_interventionupdate_focus_itemupdate_insightupdate_store_profileget_subscription_statusThe AI data platform for commerce: Shopify, Amazon, ads and Klaviyo data with metrics defined once.
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