get_statsAverage rating, review count, rating distribution and reply rate, for everything or one location or platform. Default period: the last 12 months.
| Name | Required | Description | Default |
|---|---|---|---|
| since | No | A date (2026-10-01) or an ISO 8601 timestamp. | |
| until | No | A date (2026-10-01) or an ISO 8601 timestamp. | |
| platform | No | ||
| location_id | No |
Changes observed during successful MCP inspections.
Input schema / properties / platform / enumPrevious value: -[
- "google",
- "app_store",
- "google_play",
- "judge_me",
- "trustpilot",
- "google_maps",
- "yelp",
- "tripadvisor",
- "booking",
- "yotpo",
- "reviews_io",
- "g2",
- "ebay",
- "etsy",
- "steam",
- "okendo",
- "feefo",
- "trusted_shops",
- "ekomi",
- "loox",
- "proven_expert",
- "shopper_approved",
- "wordpress",
- "appexchange",
- "shopify_apps",
- "atlassian",
- "klaviyo",
- "woocommerce",
- "wix",
- "microsoft_store",
- "junip",
- "fera",
- "bigcommerce",
- "shopware",
- "ecwid",
- "hostaway",
- "mercadolibre",
- "hospitable",
- "guesty",
- "appgallery",
- "vtex",
- "facebook",
- "opentable",
- "doordash",
- "angi",
- "checkatrade",
- "avvo",
- "capterra",
- "apartments",
- "gartner",
- "healthgrades",
- "vitals",
- "classpass",
- "expedia",
- "airbnb",
- "bbb",
- "software_advice",
- "deliveroo"
-]New value: +[
+ "google",
+ "app_store",
+ "google_play",
+ "judge_me",
+ "trustpilot",
+ "google_maps",
+ "yelp",
+ "tripadvisor",
+ "booking",
+ "yotpo",
+ "reviews_io",
+ "g2",
+ "ebay",
+ "etsy",
+ "steam",
+ "okendo",
+ "feefo",
+ "trusted_shops",
+ "ekomi",
+ "loox",
+ "proven_expert",
+ "shopper_approved",
+ "wordpress",
+ "appexchange",
+ "shopify_apps",
+ "atlassian",
+ "klaviyo",
+ "woocommerce",
+ "wix",
+ "microsoft_store",
+ "junip",
+ "fera",
+ "bigcommerce",
+ "shopware",
+ "ecwid",
+ "hostaway",
+ "mercadolibre",
+ "hospitable",
+ "guesty",
+ "appgallery",
+ "vtex",
+ "mozilla",
+ "openvsx",
+ "jetbrains",
+ "beds24",
+ "facebook",
+ "opentable",
+ "doordash",
+ "angi",
+ "checkatrade",
+ "avvo",
+ "capterra",
+ "apartments",
+ "gartner",
+ "healthgrades",
+ "vitals",
+ "classpass",
+ "expedia",
+ "airbnb",
+ "bbb",
+ "software_advice",
+ "deliveroo"
+]Input schema / properties / platform / enumPrevious value: -[
- "google",
- "app_store",
- "google_play",
- "judge_me",
- "trustpilot",
- "google_maps",
- "yelp",
- "tripadvisor",
- "booking",
- "yotpo",
- "reviews_io",
- "g2",
- "ebay",
- "etsy",
- "steam",
- "okendo",
- "feefo",
- "trusted_shops",
- "ekomi",
- "loox",
- "proven_expert",
- "shopper_approved",
- "wordpress",
- "appexchange",
- "shopify_apps",
- "atlassian",
- "klaviyo",
- "woocommerce",
- "wix",
- "microsoft_store",
- "junip",
- "fera",
- "bigcommerce",
- "shopware",
- "ecwid",
- "hostaway",
- "mercadolibre",
- "facebook",
- "opentable",
- "doordash",
- "angi",
- "checkatrade",
- "avvo",
- "capterra",
- "apartments",
- "gartner",
- "healthgrades",
- "vitals",
- "classpass",
- "expedia",
- "airbnb",
- "bbb",
- "software_advice",
- "deliveroo"
-]New value: +[
+ "google",
+ "app_store",
+ "google_play",
+ "judge_me",
+ "trustpilot",
+ "google_maps",
+ "yelp",
+ "tripadvisor",
+ "booking",
+ "yotpo",
+ "reviews_io",
+ "g2",
+ "ebay",
+ "etsy",
+ "steam",
+ "okendo",
+ "feefo",
+ "trusted_shops",
+ "ekomi",
+ "loox",
+ "proven_expert",
+ "shopper_approved",
+ "wordpress",
+ "appexchange",
+ "shopify_apps",
+ "atlassian",
+ "klaviyo",
+ "woocommerce",
+ "wix",
+ "microsoft_store",
+ "junip",
+ "fera",
+ "bigcommerce",
+ "shopware",
+ "ecwid",
+ "hostaway",
+ "mercadolibre",
+ "hospitable",
+ "guesty",
+ "appgallery",
+ "vtex",
+ "facebook",
+ "opentable",
+ "doordash",
+ "angi",
+ "checkatrade",
+ "avvo",
+ "capterra",
+ "apartments",
+ "gartner",
+ "healthgrades",
+ "vitals",
+ "classpass",
+ "expedia",
+ "airbnb",
+ "bbb",
+ "software_advice",
+ "deliveroo"
+]Input schema / properties / platform / enumPrevious value: -[
- "google",
- "app_store",
- "google_play",
- "judge_me",
- "trustpilot",
- "google_maps",
- "yelp",
- "tripadvisor",
- "booking",
- "yotpo",
- "reviews_io",
- "g2",
- "ebay",
- "etsy",
- "steam",
- "okendo",
- "feefo",
- "trusted_shops",
- "ekomi",
- "loox",
- "proven_expert",
- "shopper_approved",
- "wordpress",
- "appexchange",
- "shopify_apps",
- "atlassian",
- "klaviyo",
- "woocommerce",
- "wix",
- "microsoft_store",
- "junip",
- "fera",
- "facebook",
- "opentable",
- "doordash",
- "angi",
- "checkatrade",
- "avvo",
- "capterra",
- "apartments",
- "gartner",
- "healthgrades",
- "vitals",
- "classpass",
- "expedia",
- "airbnb",
- "bbb",
- "software_advice",
- "deliveroo"
-]New value: +[
+ "google",
+ "app_store",
+ "google_play",
+ "judge_me",
+ "trustpilot",
+ "google_maps",
+ "yelp",
+ "tripadvisor",
+ "booking",
+ "yotpo",
+ "reviews_io",
+ "g2",
+ "ebay",
+ "etsy",
+ "steam",
+ "okendo",
+ "feefo",
+ "trusted_shops",
+ "ekomi",
+ "loox",
+ "proven_expert",
+ "shopper_approved",
+ "wordpress",
+ "appexchange",
+ "shopify_apps",
+ "atlassian",
+ "klaviyo",
+ "woocommerce",
+ "wix",
+ "microsoft_store",
+ "junip",
+ "fera",
+ "bigcommerce",
+ "shopware",
+ "ecwid",
+ "hostaway",
+ "mercadolibre",
+ "facebook",
+ "opentable",
+ "doordash",
+ "angi",
+ "checkatrade",
+ "avvo",
+ "capterra",
+ "apartments",
+ "gartner",
+ "healthgrades",
+ "vitals",
+ "classpass",
+ "expedia",
+ "airbnb",
+ "bbb",
+ "software_advice",
+ "deliveroo"
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds the non-obvious default window of the last 12 months, but says nothing about how since/until interact with that default, nor about result shape or any limits.
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?
Two sentences, front-loaded with the returned metrics and followed by the scoping rule and default period. No filler.
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?
With no output schema, the description correctly enumerates the returned metrics, which is the important compensation. Remaining gaps are minor: filter-combination behavior and how a supplied since/until overrides the 12-month default.
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?
Schema coverage is 50% with since/until documented, and the description compensates by explaining that platform and location_id select the aggregation scope ('everything or one location or platform'). It does not clarify whether the two filters combine or which wins, leaving a real ambiguity.
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?
Names the exact metrics returned (average rating, review count, rating distribution, reply rate) and the aggregation scope (everything, one location, or one platform). That is a specific verb+resource with enough detail for an agent to distinguish it from get_review and list_reviews.
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?
Implies the use case — aggregate metrics rather than individual reviews — and states a default period, but never explicitly says when to prefer it over list_reviews or get_usage, nor what happens when both location_id and platform are supplied.
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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